期刊

Applied Intelligence 9 c
Applied Soft Computing 1
Data Mining and Knowledge Discovery 4 b
Engineering Applications of Artificial Intelligence 2
International Journal of Machine Learning and Cybernetics 3
IEEE Intelligent Systems 1
Information Processing and Management 7 B
Information Sciences 13 b
Knowledge-Based Systems 16 c
Neurocomputing 5 c
IEEE/ACM Transactions on Audio, Speech and Language Processing 2
IEEE Transactions on Fuzzy Systems 2
IEEE Transactions on Knowledge and Data Engineering 14 A
IEEE Transactions on Neural Networks and Learning Systems 3

Applied Intelligence
Knowledge-Based Systems
Neurocomputing

Journal

●(CH-TKG) Qiuying Ma, Xuan Zhang, Zishuo Ding, Chen Gao, Weiyi Shang, Qiong Nong, Yubin Ma, Zhi Jin. “Temporal knowledge graph reasoning based on evolutional representation and contrastive learning”. Applied Intelligence 2024. paper
●(Ensemble) Yalin Wang, Yubin Peng, Jingyu Guo. “Enhancing knowledge graph embedding with structure and semantic features”. Applied Intelligence 2024. paper
●(IRAN) Xuhua Yang, Qi-Yao Li, Dong Wei, Hai-Xia Long. “Implicit relational attention network for few-shot knowledge graph completion”. Applied Intelligence 2024. paper
●(Light-HGCN) Jinglin Zhang, Bo Shen. “A lightweight hierarchical graph convolutional model for knowledge graph representation learning”. Applied Intelligence 2024. paper
●(MPNet) Jingbin Wang, Renfei Wu, Yuwei Wu, Fuyuan Zhang, Sirui Zhang, Kun Guo. “MPNet: temporal knowledge graph completion based on a multi-policy network”. Applied Intelligence 2024. paper
●(MTRN) Xuhua Yang, Dong Wei, Lian Zhang, Gang-Feng Ma, Xin-Li Xu, Haixia Long. “Task-related network based on meta-learning for few-shot knowledge graph completion”. Applied Intelligence 2024. paper
●(SR-GNN) Xinlu Li, Yujie Tian, Shengwei Ji. “Semantic- and relation-based graph neural network for knowledge graph completion”. Applied Intelligence 2024. paper
●(TSAE) Anish Rajkumar Khobragade, Shashikant Ghumbre, Vinod Keshaorao Pachghare. “Enhancing missing facts inference in knowledge graph using triplet subgraph attention embeddings”. Applied Intelligence 2024. paper
●(TSA-Net) Ruzhong Xie, Ke Ruan, Bosong Huang, Weihao Yu, Jing Xiao, Jin Huang. “TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation”. Applied Intelligence 2024. paper
●(DOGE) Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz. “Pre-training and diagnosing knowledge base completion models”. Artificial Intelligence 2024. paper
●Wenbo Zheng, Lan Yan, Fei-Yue Wang. “Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning”. Artificial Intelligence 2024. paper
●(TiPNN) Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou. “Temporal inductive path neural network for temporal knowledge graph reasoning”. Artificial Intelligence 2024. paper
●(MA-TPath) Luyi Bai, Mingzhuo Chen, Qianwen Xiao. “Multi-hop temporal knowledge graph reasoning with multi-agent reinforcement learning”. Applied Soft Computing 2024. paper
●(HolmE) Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Zequn Sun, Chunnong Li, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu. “Knowledge graph embedding closed under composition”. Data Mining and Knowledge Discovery 2024. paper
●(KTR) Kang Tang, Shasha Li, Jintao Tang, Dong Li, Pancheng Wang, Ting Wang. “Fusing structural information with knowledge enhanced text representation for knowledge graph completion”. Data Mining and Knowledge Discovery 2024. paper
●(NSF-KGE) Adil Bahaj, Mounir Ghogho. “Negative‑sample‑free knowledge graph embedding”. Data Mining and Knowledge Discovery 2024. paper
●(VEM2L) Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin. “VEM2L: an easy but efective framework for fusing text and structure knowledge on sparse knowledge graph completion”. Data Mining and Knowledge Discovery 2024. paper
●(InversEF) Qianjin Zhang, Yandan Xu. “Knowledge graph embedding with inverse function representation for link prediction”. Engineering Applications of Artificial Intelligence 2024. paper
●(QM-mod) Lin Zhu, Wenjun Zhao, Luyi Bai. “Quadruple mention text-enhanced temporal knowledge graph reasoning”. Engineering Applications of Artificial Intelligence 2024. paper
●(CDRGN-SDE) Dong Zhang, Wenlong Feng, Zonghang Wu, Guanyu Li, Bo Ning. “CDRGN-SDE: Cross-Dimensional Recurrent Graph Network with neural Stochastic Differential Equation for temporal knowledge graph embedding”. Expert Systems With Applications 2024. paper
●(ConeE) Jingchao Wang, Weimin Li, Fangfang Liu, Zhenhai Wang, Alex Munyole Luvembe, Qun Jin, Quanke Pan, Fangyu Liu. “ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion”. Expert Systems With Applications 2024. paper
●(FCC) Jin Liu, Chongfeng Fan, Fengyu Zhou, Huijuan Xu. “Complete feature learning and consistent relation modeling for few-shot knowledge graph completion”. Expert Systems With Applications 2024. paper
●(GLSEC) Ruixin Ma, Xiaoru Wang, Cunxi Cao, Xiya Bu, Hao Wu, Liang Zhao. “GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion”. Expert Systems With Applications 2024. paper
●Pengfei Zhang, Dong Chen, Yang Fang, Weidong Xiao, Xiang Zhao, Zhen Tan, Rui Wang. “A knowledge graphs representation method based on IsA relation modeling”. Expert Systems With Applications 2024. paper
●(LMS) Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian. “Learning multi-graph structure for Temporal Knowledge Graph reasoning”. Expert Systems With Applications 2024. paper
●Ruixin Ma, Hao Wu, Xiaoru Wang, Weihe Wang, Yunlong Ma, Liang Zhao. “Multi-view semantic enhancement model for few-shot knowledge graph completion”. Expert Systems With Applications 2024. paper
●(MFSSN) Jie Liu, Lizheng Zu, Yunbin Yan, Jiye Zuo, Benliang Sang. “Multi-Filter soft shrinkage network for knowledge graph embedding”. Expert Systems With Applications 2024. paper
●(MSHE) Dan Jiang, Ronggui Wang, Lixia Xue, Juan Yang. “Multisource hierarchical neural network for knowledge graph embedding”. Expert Systems With Applications 2024. paper
●(SeAE) Jingbin Wang, Hao Huang, Yuwei Wu, Fuyuan Zhang, Sirui Zhang, Kun Guo. “Open Knowledge Graph Link Prediction with Semantic-Aware Embedding”. Expert Systems With Applications 2024. paper
●(SpaceRL-KG) Miguel Bermudo, Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro. “SpaceRL-KG: Searching paths automatically combining embedding-based rewards with Reinforcement Learning in Knowledge Graphs”. Expert Systems With Applications 2024. paper
●(TPComplEx) Jinfa Yang, Xianghua Ying, Yongjie Shi, Bowei Xing. “Tensor decompositions for temporal knowledge graph completion with time perspective”. Expert Systems With Applications 2024. paper
●(MvTuckER) Hao Wang, Jing Yang, Laurence T. Yang, Yuan Gao, Jihong Ding, Xiaokang Zhou, Huazhong Liu. “MvTuckER: Multi-view knowledge graphs representation learning based on tensor tucker model”. Information Fusion 2024. paper
●(GATFCN) Yuzhu Jin, Liu Yang. “Graph‑aware tensor factorization convolutional network for knowledge graph completion”. International Journal of Machine Learning and Cybernetics 2024. paper
●(HHAN-KGC) Jiaohuang Luo, Changlong Song. “Knowledge graph completion model based on hyperbolic hierarchical attention network”. International Journal of Machine Learning and Cybernetics 2024. paper
●(RCGCN-TE) Hong Yu, Jinxuan Tang, Zhihan Peng, Ye Wang. “Relation correlations‑aware graph convolutional network with text‑enhanced for knowledge graph embedding”. International Journal of Machine Learning and Cybernetics 2024. paper
●(TE-TFN) Jingchao Wang, Xiao Liu, Weimin Li, Fangfang Liu, Xing Wu, Qun Jin. “A Text-Enhanced Transformer Fusion Network for Multimodal Knowledge Graph Completion”. IEEE Intelligent Systems 2024. paper
●(DLGR) Yao Xiao, Guangyou Zhou, Zhiwen Xie, Jin Liu, Jimmy Xiangji Huang. “Learning dual disentangled representation with self-supervision for temporal knowledge graph reasoning”. Information Processing and Management 2024. paper
●(DT4KGR) Yi Xia, Junyong Luo, Gang Zhou, Mingjing Lan, Xiaohui Chen, Jing Chen. “DT4KGR: Decision transformer for fast and effective multi-hop reasoning over knowledge graphs”. Information Processing and Management 2024. paper
●(DTAE) Weibin Deng, Yiteng Zhang, Hong Yu, Hongxing Li. “Knowledge graph embedding based on dynamic adaptive atrous convolution and attention mechanism for link prediction”. Information Processing and Management 2024. paper
●(RGAI) Bin Shang, Yinliang Zhao, Jun Liu. “Knowledge graph representation learning with relation-guided aggregation and interaction”. Information Processing and Management 2024. paper
●(STKGR-PR) Xiangxi Meng, Luyi Bai, Jiahui Hu, Lin Zhu. “Multi-hop path reasoning over sparse temporal knowledge graphs based on path completion and reward shaping”. Information Processing and Management 2024. paper
●(TaReT) Jiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao. “TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusion”. Information Processing and Management 2024. paper
●(TEGS) Zhifei Li, Yue Jian, Zengcan Xue, Yumin Zheng, Miao Zhang, Yan Zhang, Xiaoju Hou, Xiaoguang Wang. “Text-enhanced knowledge graph representation learning with local structure”. Information Processing and Management 2024. paper
●(Ae2KGR) Bin Shang, Yinliang Zhao, Yifan Liu, Chenxin Wang. “Attention-based exploitation and exploration strategy for multi-hop knowledge graph reasoning”. Information Sciences 2024. paper
●(CKBRLM) Weiyan Zhang, Chuang Chen, Tao Chen, Jingping Liu, Qi Ye, Tong Ruan. “A multi-view representation learning framework for commonsense knowledge bases”. Information Sciences 2024. paper
●(CoPE) Adnan Zeb, Summaya Saif, Junde Chen, James Jianqiao Yu, Qingshan Jiang, Defu Zhang. “CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs”. Information Sciences 2024. paper
●(CRmod) Lin Zhu, Die Chai, Luyi Bai. “CRmod: Context-Aware Rule-Guided reasoning over temporal knowledge graph”. Information Sciences 2024. paper
●(DT-WE) Xiaobei Xu, Wei Jia, Li Yan, Xiaoping Lu, Chao Wang, Zong Min Ma. “Spatiotemporal knowledge graph completion via diachronic and transregional word embedding”. Information Sciences 2024. paper
●(F-TKGE) Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff. “Wasserstein adversarial learning based temporal knowledge graph embedding”. Information Sciences 2024. paper
●(Joint-MTComplEx) Fu Zhang, Hongzhi Chen, Yuzhe Shi, Jingwei Cheng, Jinghao Lin. “Joint framework for tensor decomposition-based temporal knowledge graph completion”. Information Sciences 2024. paper
●(KR-POFSA) Enliang Yan, Tao Zhang, Jianping Yu, Tianyong Hao, Qiliang Chen. “A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure”. Information Sciences 2024. paper
●(MGIF) Duantengchuan Li, Fobo Shi, Xiaoguang Wang, Chao Zheng, Yuefeng Cai, Bing Li. “Multi-perspective knowledge graph completion with global and interaction features”. Information Sciences 2024. paper
●(RuMER-RL) Zefan Zeng, Qing Cheng, Yuehang Si, Zhong Liu. “RuMER-RL: A hybrid framework for sparse knowledge graph explainable reasoning”. Information Sciences 2024. paper
●(SANe) Yancong Li, Xiaoming Zhang, Bo Zhang, Feiran Huang, Xiaopeng Chen, Ming Lu, Shuai Ma. “SANe: Space adaptation network for temporal knowledge graph completion”. Information Sciences 2024. paper
●(SimRE) Dong Zhang, Zhe Rong, Chengyuan Xue, Guanyu Li. “SimRE: Simple contrastive learning with soft logical rule for knowledge graph embedding”. Information Sciences 2024. paper
●(THOR) Yeon-Chang Lee, JaeHyun Lee, Dongwon Lee, Sang-Wook Kim. “Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion”. Information Sciences 2024. paper
●(RTTI) Ruinan Liu, Guisheng Yin, Zechao Liu, Ye Tian. “Reinforcement learning with time intervals for temporal knowledge graph reasoning”. Information Systems 2024. paper
●(SFTe) Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma. “SFTe: Temporal knowledge graphs embedding for future interaction prediction”. Information Systems 2024. paper
●(CEC-BD) Lupeng Yue, Yongjian Ren, Yan Zeng, Jilin Zhang, Kaisheng Zeng, Jian Wan, Mingyao Zhou. “Complex expressional characterizations learning based on block decomposition for temporal knowledge graph completion”. Knowledge-Based Systems 2024. paper
●(CLF) Hao Wang, Dandan Song, Zhijing Wu, Jia Li, Yanru Zhou, Jing Xu. “A collaborative learning framework for knowledge graph embedding and reasoning”. Knowledge-Based Systems 2024. paper
●(CP-KGC) Rui Yang, Jiahao Zhu, Jianping Man, Li Fang, Yi Zhou. “Enhancing text-based knowledge graph completion with zero-shot large language models: A focus on semantic enhancement”. Knowledge-Based Systems 2024. paper
●(DAN) Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpu Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang. “Distributed representations of entities in open-world knowledge graphs”. Knowledge-Based Systems 2024. paper
●(DeER) Ming Lu, Yancong Li, Jiangxiao Zhang, Haiying Ren, Xiaoming Zhang. “Deep hyperbolic convolutional model for knowledge graph embedding”. Knowledge-Based Systems 2024. paper
●(DPE) Ya Chen, Samuel Mensah, Junpeng Li. “Learning distributed representations of knowledge that preserve deductive reasoning”. Knowledge-Based Systems 2024. paper
●(DRGCL) Hong Yin, Jiang Zhong, Rongzhen Li, Xue Li. “Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion”. Knowledge-Based Systems 2024. paper
●(GFedKG) Yuzhuo Wang, Hongzhi Wang, Xianglong Liu, Yu Yan. “GFedKG: GNN-based federated embedding model for knowledge graph completion”. Knowledge-Based Systems 2024. paper
●Hao Zhong, Weisheng Li, Qi Zhang, Ronghua Lin, Yong Tang. “A unified embedding-based relation completion framework for knowledge graph”. Knowledge-Based Systems 2024. paper
●(LCA-KGC) Bin Shang, Yinliang Zhao, Jun Liu. “Learnable convolutional attention network for knowledge graph completion”. Knowledge-Based Systems 2024. paper
●(ODETKGE) Huimin Huang, Luodi Xie, Mingzhe Liu, Jiajun Lin, Hong Shen. “An embedding model for temporal knowledge graphs with long and irregular intervals”. Knowledge-Based Systems 2024. paper
●(RG-TGA) Jie Hu, Yinglian Zhu, Fei Teng, Tianrui Li. “Temporal knowledge graph reasoning based on relation graphs and time-guided attention mechanism”. Knowledge-Based Systems 2024. paper
●(SDFormer) Duantengchuan Li, Tao Xia, Jing Wang, Fobo Shi, Qi Zhang, Bing Li, Yu Xiong. “SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding”. Knowledge-Based Systems 2024. paper
●(SelectE) Lizheng Zu, Lin Lin, Song Fu, Feng Guo, Jinlei Wu. “SelectE: Multi-scale adaptive selection network for knowledge graph representation learning”. Knowledge-Based Systems 2024. paper
●(TELS) Jiujiang Guo, Jian Yu, Mankun Zhao, Mei Yu, Ruiguo Yu, Linying Xu, Yu Pan, Xuewei Li. “TELS: Learning time-evolving information and latent semantics using dual quaternion for temporal knowledge graph completion”. Knowledge-Based Systems 2024. paper
●(TracKGE) Mingjie Wang, Zijie Li, Jun Wang, Wei Zou, Juxiang Zhou, Jianhou Gan. “TracKGE: Transformer with Relation-pattern Adaptive Contrastive Learning for Knowledge Graph Embedding”. Knowledge-Based Systems 2024. paper
●(ConvTKG) Mingsheng He, Lin Zhu, Luyi Bai. “ConvTKG: A query-aware convolutional neural network-based embedding model for temporal knowledge graph completion”. Neurocomputing 2024. paper
●(DSA) Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo. “Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation”. Neurocomputing 2024. paper
●(Hi-KnowE) Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu. “Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning”. Neurocomputing 2024. paper
●(PRGNN) Danhao Zhu. “PRGNN: Modeling high-order proximity with relational graph neural network for knowledge graph completion”. Neurocomputing 2024. paper
●(Relphormer) Zhen Bi, Siyuan Cheng, Jing Chen, Xiaozhuan Liang, Feiyu Xiong, Ningyu Zhang. “Relphormer: Relational Graph Transformer for Knowledge Graph Representations”. Neurocomputing 2024. paper
●(CoolGust) Chao Wang. “CoolGust: knowledge representation learning with commonsense knowledge guidelines and constraints”. Neural Computing and Applications 2024. paper
●(DHKE) Jinglin Zhang, Bo Shen, Yu Zhang. “Learning hierarchy-aware complex knowledge graph embeddings for link prediction”. Neural Computing and Applications 2024. paper
●(DisenOS) Youmin Zhang, Lei Sun, Ye Wang, Qun Liu, Li Liu. “One-shot knowledge graph completion based on disentangled representation learning”. Neural Computing and Applications 2024. paper
●(ILR-IR) Xin Mei, Libin Yang, Zuowei Jiang, Xiaoyan Cai, Dehong Gao, Junwei Han, Shirui Pan. “An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph”. Neural Networks 2024. paper
●(MuLAN) Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song. “MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion”. Neural Networks 2024. paper
●(PLEASING) Jinchuan Zhang, Ming Sun, Qian Huang, Ling Tian. “PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning”. Neural Networks 2024. paper
●(TCIE) Tao Wang, Bo Shen, Jinglin Zhang, Yu Zhong. “Knowledge Graph Embedding via Triplet Component Interactions”. Neural Processing Letters 2024. paper
●(InCL-KGC) Jie Hu, Hongqun Yang, Fei Teng, Shengdong Du, Tianrui Li. “A knowledge graph completion model based on triple level interaction and contrastive learning”. Pattern Recognition 2024. paper
●(MetaTKG++) Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang. “MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning”. Pattern Recognition 2024. paper
●(SKG-KGC) Yongxue Shan, Jie Zhou, Jie Peng, Xin Zhou, Jiaqian Yin, Xiaodong Wang. “Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion”. Transactions of the Association for Computational Linguistics 2024. paper
●(DSTKG) Pengfei Li, Guangyou Zhou, Zhiwen Xie, Penghui Xie, Jimmy Xiangji Huang. “Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning”. IEEE/ACM Transactions on Audio, Speech and Language Processing 2024. paper
●(MLI) Jiapu Wang, Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin. “Multi-Level Interaction Based Knowledge Graph Completion”. IEEE/ACM Transactions on Audio, Speech and Language Processing 2024. paper
●(MADE) Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao. “MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion”. IEEE Transactions on Cybernetics 2024. paper
●(CNN-ECFA) Kairong Hu, Xiaozhi Zhu, Hai Liu, Yingying Qu, Fu Lee Wang, Tianyong Hao. “Convolutional Neural Network-Based Entity-Specific Common Feature Aggregation for Knowledge Graph Embedding Learning”. IIEEE Transactions on Consumer Electronics 2024. paper
●(ERGRW) Weisheng Li, Hao Zhong, Ronghua Lin, Chao Chang, Zhihong Pan, Yong Tang. “Entity-Relation Guided Random Walk for Link Prediction in Knowledge Graphs”. IEEE Transactions on Computational Social Systems 2024. paper
●Huashi Zhu, Dexuan Xu, Yu Huang, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong. “Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion”. IEEE Transactions on Emerging Topics in Computational Intelligence 2024. paper
●(HiKGR) Cheng Yan, Feng Zhao, Yudong Zhang. “From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning”. IEEE Transactions on Emerging Topics in Computational Intelligence 2024. paper
●(FERKE) Chao Wang, Li Yan, Zongmin Ma. “Fuzzy Event Knowledge Graph Embedding Through Event Temporal and Causal Transfer”. IEEE Transactions on Fuzzy Systems 2024. paper
●(FSTRE) Hao Ji, Li Yan, Zongmin Ma. “FSTRE: Fuzzy Spatiotemporal RDF Knowledge Graph Embedding Using Uncertain Dynamic Vector Projection and Rotation”. IEEE Transactions on Fuzzy Systems 2024. paper
●(FTFD) Xuanxuan An, Luyi Bai, Longlong Zhou, Jingni Song. “Few-Shot Fuzzy Temporal Knowledge Graph Completion via Fuzzy Semantics and Dynamic Attention Network”. IEEE Transactions on Fuzzy Systems 2024. paper
●(GATH) Wanxu Wei, Yitong Song, Bin Yao. “Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach”. ACM Transactions on Knowledge Discovery from Data 2024. paper
●(MEGA) Yashen Wang, Xiaoye Ouyang, Dayu Guo, Xiaoling Zhu. “MEGA: Meta-Graph Augmented Pre-Training Model for Knowledge Graph Completion”. ACM Transactions on Knowledge Discovery from Data 2024. paper
●(MLSAA) Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin. “Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion”. ACM Transactions on Knowledge Discovery from Data 2024. paper
●(STDN) Xuefei Li, Huiwei Zhou, Weihong Yao, Wenchu Li, Baojie Liu, Yingyu Lin. “Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning”. ACM Transactions on Knowledge Discovery from Data 2024. paper
●(AEKE) Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang. “Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(DyMemR) Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng. “Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(FedEAN) Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu. “FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(GCMI) Xingrui Zhuo, Gongqing Wu, Zan Zhang, Xindong Wu. “Geometric-Contextual Mutual Infomax Path Aggregation for Relation Reasoning on Knowledge Graph”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(GLAR) Zhiwen Xie, Yi Zhang, Guangyou Zhou, Jin Liu, Xinhui Tu, Jimmy Xiangji Huang. “One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(GTRL) Xing Tang, Ling Chen. “GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(HMLS) Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao. “Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(HoGRN) Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang. “HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(KGMixup) Tianyang Xie, Yong Ge. “Enhance Knowledge Graph Embedding by Mixup”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(LiftNet) Borui Cai, Yong Xiang, Longxiang Gao, Di Wu, He Zhang, Jiong Jin, Tom H. Luan. “From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(RETA++) Dingqi Yang, Bingqing Qu, Paolo Rosso, Philippe Cudré-Mauroux. “Fast and Slow Thinking: A Two-Step Schema-Aware Approach for Instance Completion in Knowledge Graphs”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(sHINGE) Yuhuan Lu, Dingqi Yang, Pengyang Wang, Paolo Rosso, Philippe Cudré-Mauroux. “Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(THCN) Tingxuan Chen, Jun Long, Zidong Wang, Shuai Luo, Jincai Huang, Liu Yang. “THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(TSP) Wen Zhang, Yajing Xu, Peng Ye, Zhiwei Huang, Zezhong Xu, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen. “Start From Zero: Triple Set Prediction for Automatic Knowledge Graph Completion”. IEEE Transactions on Knowledge and Data Engineering 2024. paper
●(HKA) Yunhui Xu, Youru Li, Muhao Xu, Zhenfeng Zhu, Yao Zhao. “HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion”. ACM Transactions on Multimedia Computing, Communications, and Applications 2024. paper
●(APINet) Yuling Li, Kui Yu, Yuhong Zhang, Jiye Liang, Xindong Wu. “Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion”. IEEE Transactions on Neural Networks and Learning Systems 2024. paper
●(Knowformer) Guangyao Li, Zequn Sun, Wei Hu, Gong Cheng, Yuzhong Qu. “Position-Aware Relational Transformer for Knowledge Graph Embedding”. IEEE Transactions on Neural Networks and Learning Systems 2024. paper
●(QDN) Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin. “QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion”. IEEE Transactions on Neural Networks and Learning Systems 2024. paper

●(CompilE) Wanyun Cui, Linqiu Zhang. “Modeling Knowledge Graphs with Composite Reasoning”. AAAI 2024. paper
●(HGE) Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab. “HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces”. AAAI 2024. paper
●(IncDE) Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu. “Towards Continual Knowledge Graph Embedding via Incremental Distillation”. AAAI 2024. paper
●(KGDM) Xiao Long, Liansheng Zhuang, Aodi Li, Jiuchang Wei, Houqiang Li, Shafei Wang. “KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding”. AAAI 2024. paper
●(KGEditor) Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen. “Editing Language Model-Based Knowledge Graph Embeddings”. AAAI 2024. paper
●(KGTS) Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang. “KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding”. AAAI 2024. paper
●(LAFA) Bin Shang, Yinliang Zhao, Jun Liu, Di Wang. “LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation”. AAAI 2024. paper
●(MGTCA) Bin Shang, Yinliang Zhao, Jun Liu, Di Wang. “Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion”. AAAI 2024. paper
●(NestE) Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab. “NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning”. AAAI 2024. paper
●(PMD) Cunhang Fan, Yujie Chen, Jun Xue, Yonghui Kong, Jianhua Tao, Zhao Lv. “Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion”. AAAI 2024. paper
●(Structure-CLIP) Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhou Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang. “Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations”. AAAI 2024. paper
●(TEILP) Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri. “TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning”. AAAI 2024. paper
●(GradPath) Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence. “Generating and Evaluating Plausible Explanations for Knowledge Graph Completion”. ACL 2024. paper
●(MR-MKG) Junlin Lee, Yequan Wang, Jing Li, Min Zhang. “Multimodal Reasoning with Multimodal Knowledge Graph”. ACL 2024. paper
●(RLF-KG) Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song. “Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation”. ACL 2024. paper
●(TCompoundE) Rui Ying, Mengting Hu, Jianfeng Wu, Yalan Xie, Xiaoyi Liu, Zhunheng Wang, Ming Jiang, Hang Gao, Linlin Zhang, Renhong Cheng. “Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion”. ACL 2024. paper
●(TPAR) Kai Chen, Ye Wang, Yitong Li, Aiping Li, Han Yu, Xin Song. “A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation”. ACL 2024. paper
●(DynaSemble) Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam. “DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion”. ACL 2024. paper
●Yashen Wang, Xiaoye Ouyang, Xiaoling Zhu, Dayu Guo, Yi Zhang. “An Aggregation Procedure Enhanced Mechanism for GCN-Based Knowledge Graph Completion Model by Leveraging Condensed Sampling and Attention Optimization”. APWeb-WAIM 2024. paper
●(EvoREG) Peiheng He, Yingjie Xiao, Chengxin He, Lei Duan. “EvoREG: Evolutional Modeling with Relation-Entity Dual-Guidance for Temporal Knowledge Graph Reasoning”. APWeb-WAIM 2024. paper
●(FedDM) Bingchen Liu, Yuanyuan Fang, Xu Wang, Xin Li. “Federated Knowledge Graph Embedding Unlearning via Diffusion Model”. APWeb-WAIM 2024. paper
●Zhuofeng Li, Haoxiang Zhang, Qiannan Zhang, Ziyi Kou, Shichao Pei. “Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion”. CIKM 2024. paper
●(CSD) Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang. “Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding”. CIKM 2024. paper
●(DynDE) Bin Zhang, Jiayin Li, Yuanfei Dai. “Distilling Knowledge Based on Curriculum Learning for Temporal Knowledge Graph Embeddings”. CIKM 2024. paper
●Chong Mu, Lizong Zhang, Jinchuan Zhang, Qian Huang, Zhiguo Wang. “Inductive Knowledge Graph Embedding via Exploring Interaction Patterns of Relations”. CIKM 2024. paper
●(FMULT) Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo. “Embedding Knowledge Graphs in Function Spaces”. CIKM 2024. paper
●(HIST) Lijie Li, Hui Wang, Jiahang Li, Xiaodi Xu, Ye Wang, Tao Ren. “Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning”. CIKM 2024. paper
●(LoGRe) Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng. “Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs”. CIKM 2024. paper
●(STORE) Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song. “Language Models-enhanced Semantic Topology Representation Learning for Temporal Knowledge Graph Extrapolation”. CIKM 2024. paper
●(TC-rules) Kunxun Qi, Jianfeng Du, Hai Wan. “Bi-directional Learning of Logical Rules with Type Constraints for Knowledge Graph Completion”. CIKM 2024. paper
●(UAG) Bo Ni. “Reliable Knowledge Graph Reasoning with Uncertainty Quantification”. CIKM 2024. paper
●(AttFGCN) Mei Yu, Fan Gao, Mankun Zhao, Tianyi Xu, Jiujiang Guo, Wenbin Zhang, Dejun Hou, Ruiguo Yu. “AttFGCN: A GCN-Based Method Using Attention Flow for Knowledge Graph Completion”. DASFAA 2024. paper
●(NESI) Yushun Xie, Haiyan Wang, Le Wang, Lei Luo, Jianxin Li, Zhaoquan Gu. “Reinforced Negative Sampling for Knowledge Graph Embedding”. DASFAA 2024. paper
●(TRIP) Fenxuan Lin, Junjie Yao. “Inductive Type-aware Reasoning over Knowledge Graphs”. DASFAA 2024. paper
●(DECAL) Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo. “Embedding Knowledge Graphs in Degenerate Clifford Algebras”. ECAI 2024. paper
●(FHRE) Qiuyu Liang, Weihua Wang, Feilong Bao, Guanglai Gao. “Fully Hyperbolic Rotation for Knowledge Graph Embedding”. ECAI 2024. paper
●(RISDF) Mei Yu, Yilin Zuo, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Yue Zhao, Jiujiang Guo, Jian Yu. “Graph Attention Network with Relational Dynamic Factual Fusion for Knowledge Graph Completion”. ECML-PKDD 2024. paper
●(UniBi) Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu Yang. “Prior Bilinear-Based Models for Knowledge Graph Completion”. ECML-PKDD 2024. paper
●Rama Widyadhana Bhagaskoro, Volker Markl, Zoi Kaoudi. “Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings”. EDBT 2024. paper
●(ATAP) Fu Zhang, Yifan Ding, Jingwei Cheng. “ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models”. EMNLP 2024. paper
●Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou. “A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning”. EMNLP 2024. paper
●(MGESL) Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li. “Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning”. EMNLP 2024. paper
●(MoCoKGC) Qingyang Li, Yanru Zhong, Yuchu Qin. “MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion”. EMNLP 2024. paper
●(MQuinE) Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun. “MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding”. EMNLP 2024. paper
●(PEMLM) Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Wei Fang, Eddie Eddie. “Joint Pre-Encoding Representation and Sturcture Embedding for Efficient and Low-Resource Knowledge Graph Completion”. EMNLP 2024. paper
●(StructKGC) Jiashi Lin, Lifang Wang, Xinyu Lu, Zhongtian Hu, Wei Zhang, Wenxuan Lu. “Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning”. EMNLP 2024. paper
●(HolmE) Zhuoxun Zheng, Baifan Zhou, Hui Yang, Zhipeng Tan, Arild Waaler, Evgeny Kharlamov, Ahmet Soylu. “Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data”. ESWC 2024. paper
●(KELPIE) Roberto Barile, Claudia d’Amato, Nicola Fanizzi. “Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization”. ESWC 2024. paper
●(QAGCN) Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein. “QAGCN: Answering Multi-relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs”. ESWC 2024. paper
●(AI-KGC) Meng Gao, Wei Chen, Tengjiao Wang, Dawei Lu, Jiabin Zheng. “Adaptive Image-Enhanced Knowledge Graph Completion”. ICASSP 2024. paper
●(DWGCN) Hong Yin, Jiang Zhong, Rongzhen Li, Jiaqi Wang, Chen Wang, Qizhu Dai, Xue Li. “Facilitating Message Passing with Potential Links for Knowledge Graph Completion”. ICASSP 2024. paper
●(FedGE) Hongliang Sun, Xiaofeng Bi, Dianbo Sui, Zhiying Tu. “A Federated Graph to Embedding Approach for Knowledge Graph Completion”. ICASSP 2024. paper
●(HouRP) Sensen Zhang, Xun Liang, Simin Niu, Junlan Feng, Chen Feng, Mengwei Wang. “Temporal Knowledge Graph Embedding using Householder Transformations”. ICASSP 2024. paper
●(MHPS) Chen Gao, Xugong Qin, Peng Zhang, Yongquan He, Xinjian Huang, Ming Zhou, Liehuang Zhu, Qingfeng Tan. “MHPS: Multimodality-Guided Hierarchical Policy Search for Knowledge Graph Reasoning”. ICASSP 2024. paper
●Yao Liu, Yongfei Zhang, Xin Wang, Shan Yang. “Heuristic-Driven, Type-Specific Embedding in Parallel Spaces for Enhancing Knowledge Graph Reasoning”. ICASSP 2024. paper
●(Trend) Shuxian Huang, Ye Wang, Kai Chen, Yan Jia. “Temporal Relational Context Learning for Extrapolation Reasoning on Temporal Knowledge Graphs”. ICASSP 2024. paper
●(ISE2) Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao. “Inductive Link Prediction for Sequential-emerging Knowledge Graph”. ICDE 2024. paper
●(LogCL) Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin. “Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning”. ICDE 2024. paper
●(MMSN) Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, Lei Zhao. “Multi-modal Siamese Network for Few-shot Knowledge Graph Completion”. ICDE 2024. paper
●(One-Shot-Subgraph) Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han. “Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs”. ICLR 2024. paper
●(ToG) Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo. “Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph”. ICLR 2024. paper
●(ULTRA) Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu. “Towards Foundation Models for Knowledge Graph Reasoning”. ICLR 2024. paper
●(FedRMS) Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li. “FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization”. ICME 2024. paper
●(LCKGE) Ruizhou Liu, Zongsheng Cao, Zhe Wu, Qianqian Xu, Qingming Huang. “Multimodal Knowledge Graph Embeddings via Lorentz-based Contrastive Learning”. ICME 2024. paper
●(MoCoSA) Jiabang He, Jia Liu, Lei Wang, Xiyao Li, Xing Xu. “MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models”. ICME 2024. paper
●(GoldE) Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen. “Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization”. ICML 2024. paper
●(KnowFormer) Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li. “KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning”. ICML 2024. paper
●(ReED) Jaejun Lee, Minsung Hwang, Joyce Jiyoung Whang. “PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning”. ICML 2024. paper
●(G-SAP) Ruiting Dai, Yuqiao Tan, Lisi Mo, Shuang Liang, Guohao Huo, Jiayi Luo, Yao Cheng. “G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Question Answering”. ICMR 2024. paper
●(CPa-WAC) Sudipta Modak, Aakarsh Malhotra, Sarthak Malik, Anil Surisetty, Esam Abdel-Raheem. “CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph Embedding”. IJCAI 2024. paper
●(FastKGE) Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li. “Fast and Continual Knowledge Graph Embedding via Incremental LoRA”. IJCAI 2024. paper
●(KG-MRI) Yuxing Lu, Weichen Zhao, Nan Sun, Jinzhuo Wang. “Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning”. IJCAI 2024. paper
●(MuKDC) Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li. “LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion”. IJCAI 2024. paper
●(MulGA) Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li. “Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning”. IJCAI 2024. paper
●Victor Charpenay, Steven Schockaert. “Capturing Knowledge Graphs and Rules with Octagon Embeddings”. IJCAI 2024. paper
●Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt. “History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting”. IJCAI 2024. paper
●(DIFT) Yang Liu, Xiaobin Tian, Zequn Sun, Wei Hu. “Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion”. ISWC 2024. paper
●(MStar) Zhoutian Shao, Yuanning Cui, Wei Hu. “Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-starting Progressive Propagation”. ISWC 2024. paper
●(SuperRL) Jiewen Hou, Tianxing Wu, Jingting Wang, Shuang Wang, Guilin Qi. “Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion”. ISWC 2024. paper
●(UniFE) Deyu Chen, Hong Zhu, Jinguang Gu, Rusi Chen, Meiyi Xie. “Unaligned Federated Knowledge Graph Embedding”. ISWC 2024. paper
●(CISS) Kyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee. “Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity”. KDD 2024. paper
●(DiffusionE) Zongsheng Cao, Jing Li, Zigan Wang, Jinliang Li. “DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks”. KDD 2024. paper
●(NORAN) Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang. “Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion”. KDD 2024. paper
●(Power-Link) Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li. “Path-based Explanation for Knowledge Graph Completion”. KDD 2024. paper
●(AdaMF-MAT) Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang. “Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion”. LREC-COLING 2024. paper
●(CEHis) Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng. “Selective Temporal Knowledge Graph Reasoning”. LREC-COLING 2024. paper
●(DCNE) Yao Dong, Qingchao Kong, Lei Wang, Yin Luo. “Dual Complex Number Knowledge Graph Embeddings”. LREC-COLING 2024. paper
●(DHE-TKG) Xinyue Liu, Jianan Zhang, Chi Ma, Wenxin Liang, Bo Xu, Linlin Zong. “Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding”. LREC-COLING 2024. paper
●(EventGround) Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang. “EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs”. LREC-COLING 2024. paper
●(GeoGebra) Kossi Amouzouvi, Bowen Song, Sahar Vahdati, Jens Lehmann. “Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion”. LREC-COLING 2024. paper
●(HyGNet) Yancong Li, Xiaoming Zhang, Ying Cui, Shuai Ma. “Hyperbolic Graph Neural Network for Temporal Knowledge Graph Completion”. LREC-COLING 2024. paper
●(KC-GenRe) Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng Lu. “KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion”. LREC-COLING 2024. paper
●(MPIKGC) Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen. “Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models”. LREC-COLING 2024. paper
●(PReSA) Ruilin Luo, Jiayi Li, Jianghangfan Zhang, Jing Xiao, Yujiu Yang. “Prior Relational Schema Assists Effective Contrastive Learning for Inductive Knowledge Graph Completion”. LREC-COLING 2024. paper
●(PTBox) Zhiyu Fang, Jingyan Qin, Xiaobin Zhu, Chun Yang, Xu-Cheng Yin. “Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding”. LREC-COLING 2024. paper
●(RENN) Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu. “RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion”. LREC-COLING 2024. paper
●(SKDE) Haotian Xu, Yuhua Wang, Jiahui Fan. “Self-Knowledge Distillation for Knowledge Graph Embedding”. LREC-COLING 2024. paper
●Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz. “Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings”. LREC-COLING 2024. paper
●(SRPL) Xuefei Li, Huiwei Zhou, Weihong Yao, Wenchu Li, Yingyu Lin, Lei Du. “Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning”. LREC-COLING 2024. paper
●(TransERR) Jiang Li, Xiangdong Su, Fujun Zhang, Guanglai Gao. “TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation”. LREC-COLING 2024. paper
●(DySarl) Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu. “DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning”. MM 2024. paper
●(KoPA) Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Wen Zhang, Huajun Chen. “Making Large Language Models Perform Better in Knowledge Graph Completion”. MM 2024. paper
●(SGMPT) Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. “Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning”. MM 2024. paper
●(COSIGN) Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu. “COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion”. NAACL-HLT 2024. paper
●(HTCCN) Tingxuan Chen, Jun Long, Liu Yang, Zidong Wang, Yongheng Wang, Xiongnan Jin. “HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs”. NAACL-HLT 2024. paper
●Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:. “Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?”. NAACL-HLT 2024. paper
●(SAFER) Haochen Liu, Song Wang, Chen Chen, Jundong Li. “Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation”. NAACL-HLT 2024. paper
●(HOSAT) Xiang Ying, Shimei Luo, Mei Yu, Mankun Zhao, Jian Yu, Jiujiang Guo, Xuewei Li. “Two-Stage Knowledge Graph Completion Based on Semantic Features and High-Order Structural Features”. PAKDD 2024. paper
●Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu. “Untargeted Adversarial Attack on Knowledge Graph Embeddings”. SIGIR 2024. paper
●(CMR) Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai. “Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion”. SIGIR 2024. paper
●(ECEformer) Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu, Chun Yang, Shi-Xue Zhang, Xu-Cheng Yin, Jingyan Qin. “Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph”. SIGIR 2024. paper
●(NativE) Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen. “NativE: Multi-modal Knowledge Graph Completion in the Wild”. SIGIR 2024. paper
●(SpherE) Zihao Li, Yuyi Ao, Jingrui He. “SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval”. SIGIR 2024. paper
●(unKR) Jingting Wang, Tianxing Wu, Shilin Chen, Yunchang Liu, Shutong Zhu, Wei Li, Jingyi Xu, Guilin Qi. “unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation Learning”. SIGIR 2024. paper
●(DiffCLR) Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi. “Generative Models for Complex Logical Reasoning over Knowledge Graphs”. WSDM 2024. paper
●Aishwarya Rao, Narayanan Asuri Krishnan, Carlos R. Rivero. “Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs”. WWW 2024. paper
●(CLUE) Wei Shen, Binhan Yang, Yinan Liu. “Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning”. WWW 2024. paper
●(FDM) Xiao Long, Liansheng Zhuang, Aodi Li, Houqiang Li, Shafei Wang. “Fact Embedding through Diffusion Model for Knowledge Graph Completion”. WWW 2024. paper
●(HaSa) Honggen Zhang, June Zhang, Igor Molybog. “HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding”. WWW 2024. paper
●(IME) Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao. “IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion”. WWW 2024. paper
●Narayanan Asuri Krishnan, Carlos R. Rivero. “A Method for Assessing Inference Patterns Captured by Embedding Models in Knowledge Graphs”. WWW 2024. paper
●Enyuan Zhou, Song Guo, Zhixiu Ma, Zicong Hong, Tao Guo, Peiran Dong. “Poisoning Attack on Federated Knowledge Graph Embedding”. WWW 2024. paper
●(Query2GMM) Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang. “Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs”. WWW 2024. paper
●(ReliK) Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos. “ReliK: A Reliability Measure for Knowledge Graph Embeddings”. WWW 2024. paper
●(SSTKG) Ruiyi Yang, Flora D. Salim, Hao Xue. “SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding”. WWW 2024. paper
●(UniGE) Yuhan Liu, Zelin Cao, Xing Gao, Ji Zhang, Rui Yan. “Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport”. WWW 2024. paper
●(UniLP) Ben Liu, Miao Peng, Wenjie Xu, Xu Jia, Min Peng. “UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph”. WWW 2024. paper