There are 47 repositories under geometric-deep-learning topic.
Graph Neural Network Library for PyTorch
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
StellarGraph - Machine Learning on Graphs
Convolutional Neural Network for 3D meshes in PyTorch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
PyTorch Extension Library of Optimized Graph Cluster Algorithms
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Python package for graph neural networks in chemistry and biology
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
Geometric Deep Learning for Flux
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Implementation of "Deep Graph Matching Consensus" in PyTorch
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
A curated list of topological deep learning (TDL) resources and links.
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations