Dynamic subgraph pruning and causal-aware knowledge distillation for temporal knowledge graphs
Abstract Temporal Knowledge Graph (TKG) reasoning has attracted attention for its ability to capture temporal evolution patterns and improve computational efficiency. However, existing methods still encounter challenges in entity and relation prediction tasks. To overcome these, we introduce DynTKG,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00105-3 |
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