Papers by Xin Mei
An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge Graphs (2022.emnlp-main)
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| Challenge: | Existing methods for temporal knowledge graphs (TKGs) are incomplete and therefore lack interpretability. |
| Approach: | They propose an interpretable temporal knowledge graph reasoning model that captures deep causal logic by learning rule embeddings. |
| Outcome: | The proposed model outperforms state-of-the-art models on the ICEWS14, ICEW0515 and ICEw18 datasets. |