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Proposed a novel machine learning methodology to shed light on disease similarities by analyzing the relationship between categorical proximity of diseases in human-curated ontologies and structural proximity of their disease module in the human interactome.

In this tutorial, we surveyed challenges and machine learning solutions to the student dropout prediction problem in online courses.

A novel graph deep learning model for predicting disease-gene associations. The model jointly learns functional and connectivity patterns using a novel technique based on attributed random walks.

A novel graph deep learning model for predicting disease-gene associations. The model jointly learns functional and connectivity patterns using a novel technique based on attributed random walks. (Conference version)