CHE-TKG is a collaborative dual-view model that jointly captures historical evidence and evolutionary dynamics in temporal knowledge graphs via separate encoders and contrastive alignment to achieve state-of-the-art reasoning.
Gtrl: An entity group-aware temporal knowledge graph representa- tion learning method.IEEE Transactions on Knowledge and Data Engineering, 36(9):4707– 4721, 2023
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CHE-TKG: Collaborative Historical Evidence and Evolutionary Dynamics Learning for Temporal Knowledge Graph Reasoning
CHE-TKG is a collaborative dual-view model that jointly captures historical evidence and evolutionary dynamics in temporal knowledge graphs via separate encoders and contrastive alignment to achieve state-of-the-art reasoning.