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Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning

Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Zhongwu Chen +4 more
openaire +1 more source

Context-Aware Temporal Knowledge Graph Embedding

2019
Knowledge graph embedding (KGE) is an important technique used for knowledge graph completion (KGC). However, knowledge in practice is time-variant and many relations are only valid for a certain period of time. This phenomenon highlights the importance of temporal knowledge graph embeddings.
Yu Liu 0053 +3 more
openaire +4 more sources

Tensor factorization for temporal knowledge graph forecasting

Neurocomputing
Tensor 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
openaire +2 more sources

Hierarchy-Aware Temporal Knowledge Graph Embedding

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022
Jiaming Zhang, Hong Yu 0007
openaire +2 more sources

Temporal knowledge graphs reasoning with iterative guidance by temporal logical rules

Information Sciences, 2023
Luyi Bai, Wenting Yu
exaly

An improving reasoning network for complex question answering over temporal knowledge graphs

Applied Intelligence, 2022
Zhenfang Zhu, Wenqing Wu, Zicheng Zuo
exaly

Temporal enhanced inductive graph knowledge tracing