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45 search results found

Pytorch_geometric ⭐ 20,093

Graph Neural Network Library for PyTorch

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

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

Pytorch_cluster ⭐ 700

PyTorch Extension Library of Optimized Graph Cluster Algorithms

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

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

Geometricflux.jl ⭐ 334

Geometric Deep Learning for Flux

Geometric Gnn Dojo ⭐ 307

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric 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.

Difformer ⭐ 204

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

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Pytorch_spline_conv ⭐ 160

Implementation of the Spline-Based Convolution Operator of SplineCNN 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)

Gnns In Network Neuroscience ⭐ 141

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

Deepergnn ⭐ 138

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

Pyg Lib ⭐ 137

Low-Level Graph Neural Network Operators for PyG

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

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)

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

Geometric Rna Design ⭐ 44

gRNAde: Geometric Deep Learning for RNA Design

Graphood Gnnsafe ⭐ 42

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

Overlapping Community Detection ⭐ 40

Implementation of "Overlapping Community Detection with Graph Neural Networks"

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.

Geometric Gnns ⭐ 27

List of Geometric GNNs for 3D atomic systems

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

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

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

Scatteringgcn ⭐ 14

Scattering GCN: overcoming oversmoothness in graph convolutional networks

Simplicial_neural_networks ⭐ 13

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

Official implementation of E(n)-equivariant Graph Neural Cellular Automata

Ligand_generation ⭐ 12

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

Learning Paradigms For Tsp ⭐ 10

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

Fishergcn ⭐ 8

Fisher-Bures Adversary Graph Convolutional Networks

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

Reproduciblefedgnn ⭐ 5

Investigating the reproducibility of federated GNN models

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1-45 of 45 search results

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