Papers by Alberto García-Durán
Learning Sequence Encoders for Temporal Knowledge Graph Completion (D18-1)
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| Challenge: | Existing work on link prediction in knowledge graphs has focused on static multi-relational data. |
| Approach: | They propose to learn latent entity and relation type representations to incorporate temporal information into knowledge graphs. |
| Outcome: | The proposed approach is robust to common challenges in real-world KGs. |