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Temporal Knowledge Graph Completion
LE, Nhut-Nam edited this page Apr 13, 2023
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Temporal Knowledge Graph Completion
- Timestamp-included Tensor Decomposition: Canonical Polyadic Decomposition; Tucker Decomposition
- Timestamp-based Transformation: Synthetic Time-dependent Relation; Linear Transformation
- Dynamic Embedding: Representations as Functions of Timestamp; Representations as Hidden States of RNN
- Learning from Knowledge Graph Snapshots: Markov Process Models; Autoregressive Models
- Reasoning with Historical Context: Attention-based Relevance; Heuristic-based Relevance