DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling
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In recent years, graph learning has gained significant interest for modeling complex interactions among medical events in structured Electronic Health Record (EHR) data. However, existing graph-based approaches often work in a static manner, either restricting... ...
