RAG-GNN augments GNNs with retrieved literature knowledge via gated fusion to improve functional clustering of 379 proteins in cancer signaling networks, raising silhouette score by 0.093.
Network medicine: a network-based approach to human disease
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EDGE extends Einsum notation with graph-specific operations to create a unified tensor-algebra framework for expressing and manipulating graph algorithms.
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RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine
RAG-GNN augments GNNs with retrieved literature knowledge via gated fusion to improve functional clustering of 379 proteins in cancer signaling networks, raising silhouette score by 0.093.
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The EDGE Language: Extended General Einsums for Graph Algorithms
EDGE extends Einsum notation with graph-specific operations to create a unified tensor-algebra framework for expressing and manipulating graph algorithms.