Article

A Variational Graph Partitioning Approach to Modeling Protein Liquid-liquid Phase Separation

2024-01-23

Abstract excerpt

<h4>Summary</h4> Graph Neural Network (GNN)s have emerged as a powerful general-purpose tool for representation learning across many domains. Their efficacy often depends on having an optimal underlying graph for prediction. In many cases, the most relevant information comes from specific subgraphs. In this work, we introduce a novel GNN architecture, called Graph Partitioned GNN (GP-GNN), designed to partition g...

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Literature Corpus work: a3bfb415-df3d-55a2-b929-46a441802795
DOI: 10.1101/2024.01.20.576375

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