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Showing 1 to 2 of 2 for “"Subgraph representation learning"”.
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Scalable subgraph representation learning through simplification
… prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art performance in link prediction. However, SGRLs are computationally …
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Few Shot Learning for Rare Disease Diagnosis
… rare disease patients. Recent advances in deep learning have considerably improved the accuracy of medical diagnosis. However, much of the success thus far is contingent on the availability of large annotated datasets containing thousands of examples per condition for training machine learning …