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72 search results found

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Meshcnn ⭐ 1,211

Convolutional Neural Network for 3D meshes in PyTorch

Pypose ⭐ 1,103

A library for differentiable robotics.

Deep_gcns_torch ⭐ 940

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Graphein ⭐ 932

Protein Graph Library

Chemicalx ⭐ 657

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

Typedb Ml ⭐ 550

TypeDB-ML is the Machine Learning integrations library for TypeDB

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

A PyTorch Graph Neural Network Library

Pyneuralogic ⭐ 261

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

Torch Quiver ⭐ 256

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Relation Shape Cnn ⭐ 252

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

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

Difformer ⭐ 204

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Evoskeleton ⭐ 198

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

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

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Graph Convnet Tsp ⭐ 157

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Deepergnn ⭐ 138

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Cliffordlayers ⭐ 126

Graph Convolution On Structured Documents ⭐ 121

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

Gnn Lspe ⭐ 114

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

Curvature Learning Framework ⭐ 97

Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

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

Densepoint ⭐ 80

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

Surfacenetworks ⭐ 77

Source code for CVPR 2018 Oral paper "Surface Networks"

Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"

Himp Gnn ⭐ 53

Hierarchical Inter-Message Passing for Learning on Molecular Graphs

🔥OGC in PyTorch (NeurIPS 2022)

Sphericart ⭐ 48

Multi-language library for the calculation of spherical harmonics in Cartesian coordinates

Differentiable Frechet Mean ⭐ 43

[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).

Graphood Gnnsafe ⭐ 42

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

🔥GrowSP in PyTorch (CVPR 2023)

Building Dataset Generator ⭐ 39

Procedural 3D data generation pipeline for architecture

Geometric Latent Diffusion Models for 3D Molecule Generation

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Physics Aware Multiplex Gnn ⭐ 35

Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"

Deepinteract ⭐ 33

A geometric deep learning pipeline for predicting protein interface contacts.

Malnet Graph ⭐ 27

A large-scale database for graph representation learning

Haiku Geometric ⭐ 26

A collection of graph neural networks implementations in JAX

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

Pinnacle ⭐ 18

Contextualizing protein representations using deep learning on protein networks and single-cell data

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

Multigraphgan ⭐ 17

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Cellshape ⭐ 17

3D shape analysis using deep learning

How to fuse a population of graphs into a single one using graph neural networks?

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.

Scatteringgcn ⭐ 14

Scattering GCN: overcoming oversmoothness in graph convolutional networks

Spectral Universality ⭐ 13

Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"

Graphmixernetworks ⭐ 13

Official Implementation of Graph Mixer Networks

Ligand_generation ⭐ 12

Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning

Bowelnet ⭐ 11

[TMI 2022] BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation from Both Partially and Fully Labeled CT Images

Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.

Learning Paradigms For Tsp ⭐ 10

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

Equivariant Nn Zoo ⭐ 10

A library for building equivariant neural networks and a zoo of implementations & examples.

Laplacian2mesh ⭐ 10

Laplacian2Mesh: Laplacian-Based Mesh Understanding

Diffusion Hopping ⭐ 9

DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping

Embedding graphs in symmetric spaces

Evographnet ⭐ 8

EvoGraphNet for graph time-series forecasting from a single timepoint.

DockGame: Cooperative Games for Multimeric Rigid Protein Docking

Fieldconv ⭐ 6

Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]

Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class

Reproduciblefedgnn ⭐ 5

Investigating the reproducibility of federated GNN models

MongeNet sampler official implementation

Graph SuperResolution Network using geometric deep learning.

GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

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

[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"

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