Getting Started with GNN Implementation
Introduction In recent years, Graph Neural Networks (GNNs) have emerged as a potent tool for analyzing and understanding graph-structured data.
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Tag: gnn
Generating 3D Molecular Conformers via Equivariant Coarse-Graining and Aggregated Attention – The Berkeley Artificial Intelligence Research Blog
Figure 1: CoarsenConf architecture. Molecular conformer generation is a fundamental task in computational chemistry. The objective is to predict stable
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