Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning

1 code implementation • 31 Aug 2023 • Van Thuy Hoang, Sang Thanh Nguyen, Sangmyeong Lee, Jooho Lee, Luong Vuong Nguyen, O-Joun Lee

In this paper, we propose a knowledge graph embedding model for the efficient diagnosis of animal diseases, which could learn various types of literal information and graph structure and fuse them into unified representations, namely LiteralKG.

Knowledge Graph Embedding Link Prediction +1