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Interpreting Temporal Knowledge Graph Reasoning (Student Abstract) [PDF]
Proceedings of the AAAI Conference on Artificial IntelligenceTemporal knowledge graph reasoning is an essential task that holds immense value in diverse real-world applications. Existing studies mainly focus on leveraging structural and sequential dependencies, excelling in tasks like entity and link prediction.
Bin Chen +6 more
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Hierarchical graph attention network for temporal knowledge graph reasoning
Neurocomputing, 2023Jianhua Tao
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Householder Transformation-Based Temporal Knowledge Graph Reasoning [PDF]
Electronics (Switzerland), 2023 Knowledge graphs’ reasoning is of great significance for the further development of artificial intelligence and information retrieval, especially for reasoning over temporal knowledge graphs. The rotation-based method has been shown to be effective
Aiping Li, Zhichao Peng, Rong Jiang
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Reasoning over temporal knowledge graph with temporal consistency constraints
Journal of Intelligent & Fuzzy Systems, 2021Knowledge graph reasoning or completion aims at inferring missing facts by reasoning about the information already present in the knowledge graph. In this work, we explore the problem of temporal knowledge graph reasoning that performs inference on the graph over time.
Xiaojun Chen +3 more
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A Survey of Temporal Knowledge Graph Reasoning
2024 7th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)Yiwei Lu
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Reinforcement learning with time intervals for temporal knowledge graph reasoning
Information SystemsGuisheng Yin
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Temporal Knowledge Graph Reasoning based on Graph Convolution Network
2022 4th International Conference on Data Intelligence and Security (ICDIS), 2022Chong Mo +4 more
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Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023Zhongwu Chen +4 more
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Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022Haohai Sun +4 more
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Semantic Reasoning Technology on Temporal Knowledge Graph
2022Jianuo Li, Feng Zhao 0003, Hai Jin 0001
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