/tools/equiformer
equiformer
atomicarchitects/equiformer
summary
Equiformer is a PyTorch implementation of a graph attention transformer that processes 3D atomistic graphs, aimed at improving molecular simulations and property predictions. It supports training on established datasets like QM9 and MD17, making it a valuable tool for drug discovery and molecular dynamics research.
description
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
topics
catalyst-designcomputational-chemistrydeep-learningdrug-discoveryequivariant-graph-neural-networkforce-fieldsinteratomic-potentialsmachine-learningmolecular-dynamicspytorchai-for-scienceequivariant-neural-networksgraph-neural-networkse3nngeometric-deep-learningmaterials-science
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