Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
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Updated
Jul 7, 2020 - Python
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
Tensorflow 2 / tf.keras port of keras-gcnn.
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
[ICLR 2021] Group Equivariant Generative Adversarial Networks.
Tensorflow 2 port of Group Equivariant Convolutional Neural Networks
Official implementation of the ICML 2020 paper "PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions".
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
Original code for "Exploiting Learned Symmetries in Group Equivariant Convolutions"
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Authors' implementation of the paper "Equivariant Networks for Pixelized Spheres" published at ICML 2021.
Code repository of the paper "Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups" https://proceedings.mlr.press/v162/knigge22a.html
Experiments with Group Equivariant Convolutional Networks
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
Official source code for "Roto-translated Local Coordinate Frames For Interacting Dynamical Systems". In NeurIPS 2021.
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
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