MOFGalaxyNet aims to create a social network for Metal-Organic Frameworks (MOFs) and predict their properties using Graph Convolutional Networks (GCN). It fosters collaboration and exploration in the field of MOFs through social network analysis and machine learning.
Computationally characterizing Metal-Organic Frameworks (MOFs) via graph sparsification with Inverse Link Prediction using GCNs
Python-based Black Hole Strategy for node removal in MOF graphs using gravity metrics and community detection
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