Papers by Chanyoung Chung
VISTA: Visual-Textual Knowledge Graph Representation Learning (2023.findings-emnlp)
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| Challenge: | Existing knowledge graph embedding methods only consider the structure of a knowledge graph, but some recent proposed methods utilize images or text descriptions of entities in a VTKG. |
| Approach: | They propose a visual-textual knowledge graph (VTKG) where triplets can be explained using images and entities and relations can accompany text descriptions. |
| Outcome: | The proposed method outperforms state-of-the-art knowledge graph completion methods in real-world knowledge graphs. |