Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for G...
A scalable graph learning toolkit for extremely large graph datasets. (W...
DensePoint: Learning Densely Contextual Representation for Efficient Poi...
gRNAde: Geometric Deep Learning for RNA Design
😎 🧊 Collection of the most awesome learning resources on graphics prog...
Doc2Graph transforms documents into graphs and exploit a GNN to solve se...
🔥OGC in PyTorch (NeurIPS 2022)
Source code for CVPR 2018 Oral paper "Surface Networks"
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Feat...
We would like to maintain a list of resources which aim to solve molecul...
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Source code for "Molecular Mechanics-Driven Graph Neural Network with Mu...
Procedural 3D data generation pipeline for architecture