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Equivariant Graph neural Networks (EGNs) are powerful in characterizing the dynamics of multi-body physical systems.
Carnegie-mellon motion capture database
CMU · 2003
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MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations
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Neural message passing for quantum chemistry
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Pointconv: Deep convolutional networks on 3d point clouds, 2018
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Hierarchical graph representation learning with differentiable pooling
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Graph information bottleneck for subgraph recognition
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Lietransformer: equivariant self-attention for lie groups
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Frame averaging for invariant and equivariant network design
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