Abstract: Existing link prediction methods for graph-structured data produce entangled node representations by indiscriminately aggregating neighborhood information. This entanglement of diverse ...
Abstract: Graph embedding based methods have been used in recommendation systems recently, owing to their advances in modeling nodes as embeddings in a low-dimensional space. By effective neighborhood ...
ID-GRec is a graph recommendation framework based on Python and Pytorch, which contains the current mainstream and latest graph recommendation methods, the most classic datasets, evaluation metrics ...
This is a PyTorch implementation of the VGRNN model as described in our paper: E. Hajiramezanali*, A. Hasanzadeh*, N. Duffield, K. R. Narayanan, M. Zhou, and X. Qian, Variational Graph Recurrent ...
The identification of microbe–drug associations can greatly facilitate drug research and development. Traditional methods for screening microbe-drug associations are time-consuming, manpower-intensive ...
Department of Biochemistry, University of Washington, Seattle, Washington 98195, United States Institute for Protein Design, University of Washington, Seattle, Washington 98195, United States ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Molecular generation is crucial for advancing drug discovery, materials science, and ...
In this paper we give an overview of the field of patient simulators and provide qualitative and quantitative comparison of different modeling and simulation approaches. Simulators can be used to ...
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