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PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph
Patent documents in the patent database (PatDB) are crucial for research, development, and innovation as they contain valuable technical information.
Multi-modal Learning based Prediction for Disease
From the dataset, we quantitatively analyze and select clinical metadata that most contribute to NAFLD prediction.
Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction
We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks.
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