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Found 2 papers, 1 papers with code
Modeling electronic health record data using a knowledge-graph-embedded topic model
We evaluated its performance based on EHR reconstruction and drug imputation.
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
Graph representation learning for hypergraphs can be used to extract patterns among higher-order interactions that are critically important in many real world problems.
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