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Found 2 papers, 1 papers with code
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Specifically, we propose a mathematical model that decouples the GNN connectivity from the connectivity of the graph data and evaluate the performance of GNNs in a clinical triage use case.
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases of molecule SMILES and protein sequences.
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