geometric-deep-learning
There are 249 repositories under geometric-deep-learning topic.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
ranahanocka/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
pypose/pypose
A library for differentiable robotics.
lightaime/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
a-r-j/graphein
Protein Graph Library
rusty1s/pytorch_cluster
PyTorch Extension Library of Optimized Graph Cluster Algorithms
awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
AstraZeneca/chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
LPDI-EPFL/masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
lightaime/deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
typedb/typedb-ml
TypeDB-ML is the Machine Learning integrations library for TypeDB
chaitjo/geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
EdisonLeeeee/GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks
QUVA-Lab/escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Yochengliu/Relation-Shape-CNN
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
microsoft/ptgnn
A PyTorch Graph Neural Network Library
FluxML/GeometricFlux.jl
Geometric Deep Learning for Flux
Nicholasli1995/EvoSkeleton
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
chaitjo/graph-convnet-tsp
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
qitianwu/DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
quiver-team/torch-quiver
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
LukasZahradnik/PyNeuraLogic
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
atomicarchitects/equiformer_v2
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
rusty1s/deep-graph-matching-consensus
Implementation of "Deep Graph Matching Consensus" in PyTorch
lrnzgiusti/awesome-topological-deep-learning
A curated list of topological deep learning (TDL) resources and links.
vijaydwivedi75/gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
MinkaiXu/GeoLDM
Geometric Latent Diffusion Models for 3D Molecule Generation
atomicarchitects/equiformer
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
basiralab/GNNs-in-Network-Neuroscience
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
abhi1kumar/DEVIANT
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
mims-harvard/TxGNN
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
chaitjo/geometric-rna-design
gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)
pyg-team/pyg-lib
Low-Level Graph Neural Network Operators for PyG
rusty1s/pytorch_spline_conv
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch