GATHER finds topological convergence nodes in a cell-centric knowledge graph to compress multi-gene signals into compact evidence for zero-shot cell-type annotation with a single LLM call.
InProceedings of the ACM on Web Conference 2025(Sydney NSW, Australia)(WWW ’25)
2 Pith papers cite this work, alongside 34 external citations. Polarity classification is still indexing.
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A new schema-validated biomedical knowledge graph with rich properties and provenance, plus an LLM-agent validation showing 70% of sampled edges have literature support.
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GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation
GATHER finds topological convergence nodes in a cell-centric knowledge graph to compress multi-gene signals into compact evidence for zero-shot cell-type annotation with a single LLM call.
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Unifying biomedical knowledge in a modern multimodal graph
A new schema-validated biomedical knowledge graph with rich properties and provenance, plus an LLM-agent validation showing 70% of sampled edges have literature support.