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Tensor factorization for temporal knowledge graph forecasting
NeurocomputingTensor factorization has long been a cornerstone of knowledge graph (KG) reasoning, achieving state-of-the-art performance on static link prediction tasks with models such as ComplEx. Despite their effectiveness and scalability in KG reasoning, these approaches have been largely overlooked for temporal knowledge graph (TKG) forecasting, i.e ...
Dileo, Manuel +3 more
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Multi-hop temporal knowledge graph reasoning with temporal path rules guidance
Expert Systems With Applications, 2023Luyi Bai, Lin Zhu, Xiangxi Meng
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Hierarchy-Aware Temporal Knowledge Graph Embedding
2022 IEEE International Conference on Knowledge Graph (ICKG), 2022Jiaming Zhang, Hong Yu 0007
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KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
IEEE Transactions on Intelligent Transportation Systems, 2022Haifeng Li, Jiawei Zhu, Chao Tao
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Temporal enhanced inductive graph knowledge tracing
Applied Intelligence, 2023Donghee Han 0001 +4 more
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Temporal knowledge graph question answering via subgraph reasoning
Knowledge-Based Systems, 2022Xiang Zhao, Evangelos Kanoulas
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TPmod: A Tendency-Guided Prediction Model for Temporal Knowledge Graph Completion
ACM Transactions on Knowledge Discovery From Data, 2021Luyi Bai, Luyi Bai, Wenting Yu
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Modeling Dynamic Entities in Temporal Knowledge Graphs
2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2022Chen Guo +6 more
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Semantic Reasoning Technology on Temporal Knowledge Graph
2022Jianuo Li, Feng Zhao 0003, Hai Jin 0001
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