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Graph Agent: Explicit Reasoning Agent for Graphs
Graph embedding methods such as Graph Neural Networks (GNNs) and Graph Transformers have contributed to the development of graph reasoning algorithms for various tasks on knowledge graphs.
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking
Initially, biomedical concepts are embedded using language models, and then embedding similarity is utilized to retrieve the top candidates.
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