HypoAgent is an agentic framework using intent recognition, hypothesis generation, and root cause analysis agents that reports state-of-the-art semantic similarity on commonsense and biomedical knowledge graphs under single-turn, multi-turn, and unconditional settings.
InProceedings of the 29th ACM International Conference on Information & Knowledge Management, pages 3173–3180
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KGPFN pretrains on multiple KGs to learn relation patterns, then performs query-specific reasoning by encoding local context with NBFNet and global context via retrieved instances aggregated in a PFN with feature- and sample-level attention.
citing papers explorer
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HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs
HypoAgent is an agentic framework using intent recognition, hypothesis generation, and root cause analysis agents that reports state-of-the-art semantic similarity on commonsense and biomedical knowledge graphs under single-turn, multi-turn, and unconditional settings.
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KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning
KGPFN pretrains on multiple KGs to learn relation patterns, then performs query-specific reasoning by encoding local context with NBFNet and global context via retrieved instances aggregated in a PFN with feature- and sample-level attention.