A production-grade framework for predicting clinical comorbidities in EHR data using an ensemble of GNN architectures (GCN, GraphSAGE, GAT, and Graph Transformer). Features 5-dimensional clinical vectorization, multi-head attention mechanisms, and an inductive inference engine.
deep-learning graphsage pytorch-geometric gcn-architecture graph-transformer gnn-architectures omop-cdm gat-architecture ehr-analysis
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Updated
Jun 4, 2026 - Python