Convolutional Neural Network for 3D meshes in PyTorch

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

Geometric Deep Learning for Flux

Geom-GCN: Geometric Graph Convolutional Networks

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Source code for CVPR 2018 Oral paper "Surface Networks"

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

Implementation of Deep Graph Matching Consensus in PyTorch

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)

PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

A PyTorch Graph Neural Network Library

Protein Graph Library

Fisher-Bures Adversary Graph Convolutional Networks

HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.

AIRI_pottery

PyTorch implementation of "DeepSphere: a Graph-based Spherical CNN", Defferard et al., 2019.

Repository for experiments with scattering transforms

Simple task for mixed image-graph data

Learning-based partial point cloud completion system using kernel points convolution