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246 search results found

Pytorch_geometric ⭐ 20,093

Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Deep Learning Drizzle ⭐ 10,767

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

Graph Based Deep Learning Literature ⭐ 4,418

links to conference publications in graph-based deep learning

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Euler ⭐ 2,846

A distributed graph deep learning framework.

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Pytorch_geometric_temporal ⭐ 2,386

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Spektral ⭐ 2,317

Graph Neural Networks with Keras and Tensorflow 2.

Benchmarking Gnns ⭐ 2,196

Repository for benchmarking graph neural networks

Benchmark datasets, data loaders, and evaluators for graph machine learning

A library for graph deep learning research

Supergluepretrainednetwork ⭐ 1,632

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Awesome Semi Supervised Learning ⭐ 1,573

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Graph4nlp ⭐ 1,533

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Awesome Self Supervised Gnn ⭐ 1,356

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Torchdrug ⭐ 1,297

A powerful and flexible machine learning platform for drug discovery

Jraph ⭐ 1,233

A Graph Neural Network Library in Jax

Awesome Graph Self Supervised Learning ⭐ 1,194

Awesome Graph Self-Supervised Learning

Ktrain ⭐ 1,188

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Capsgnn ⭐ 1,180

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Jraph ⭐ 1,141

A Graph Neural Network Library in Jax

Pygod ⭐ 1,138

A Python Library for Graph Outlier Detection (Anomaly Detection)

Awesome Fl ⭐ 1,103

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Cnn_graph ⭐ 991

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

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

Deeprobust ⭐ 904

A pytorch adversarial library for attack and defense methods on images and graphs

Gnns Recipe ⭐ 791

🟠 A study guide to learn about Graph Neural Networks (GNNs)

Powerful Gnns ⭐ 762

How Powerful are Graph Neural Networks?

Clustergcn ⭐ 691

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Chemicalx ⭐ 657

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

Awesome Deep Graph Clustering ⭐ 626

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

Awesome Graph Transformer ⭐ 507

Papers about graph transformers.

Deepsnap ⭐ 502

Python library assists deep learning on graphs

Graphwaveletneuralnetwork ⭐ 501

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Awesome Graph Explainability Papers ⭐ 486

Papers about explainability of GNNs

Gluestick ⭐ 461

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

Decagon ⭐ 431

Graph convolutional neural network for multirelational link prediction

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

Deephypergraph ⭐ 404

A pytorch library for graph and hypergraph computation.

Awesome Deep Community Detection ⭐ 397

Deep and conventional community detection related papers, implementations, datasets, and tools.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Egnn Pytorch ⭐ 340

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

Geometricflux.jl ⭐ 334

Geometric Deep Learning for Flux

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Pytorch Geometric Yoochoose ⭐ 312

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A PyTorch Graph Neural Network Library

Attentionwalk ⭐ 299

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Awesome Dynamicgraphlearning ⭐ 298

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis

Mtad Gat Pytorch ⭐ 265

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Pyneuralogic ⭐ 261

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Graphmae ⭐ 253

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

Molecule Generation ⭐ 229

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

Graph Matching Networks ⭐ 223

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Graph Neural Pde ⭐ 212

Graph Neural PDEs

Histocartography ⭐ 207

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

Splitter ⭐ 203

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Seal Ci ⭐ 201

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Awesome Computer Vision ⭐ 186

Awesome Resources for Advanced Computer Vision Topics

Machinelearning Ai ⭐ 184

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

Graphneuralnetworks.jl ⭐ 181

Graph Neural Networks in Julia

Representation Learning On Heterogeneous Graph ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

tsl: a PyTorch library for processing spatiotemporal data.

Literatures On Gnn Acceleration ⭐ 173

A reading list for deep graph learning acceleration.

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Graph Convnet Tsp ⭐ 157

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

Role2vec ⭐ 157

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Recstudio ⭐ 153

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Modular Rl ⭐ 140

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Pyg Lib ⭐ 137

Low-Level Graph Neural Network Operators for PyG

Gnnlens2 ⭐ 136

Visualization tool for Graph Neural Networks

Gnn Fakenews ⭐ 136

A collection of GNN-based fake news detection models.

Bigscity Libcity Paperlist ⭐ 132

Paper list in traffic prediction field

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

Deepsphere Cosmo Tf1 ⭐ 129

A spherical convolutional neural network for cosmology (TFv1).

Graphxai ⭐ 128

GraphXAI: Resource to support the development and evaluation of GNN explainers

Care Gnn ⭐ 127

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Gflownet ⭐ 127

GFlowNet library specialized for graph & molecular data

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

Traffic Prediction Open Code Summary ⭐ 118

Summary of open source code for deep learning models in the field of traffic prediction

Drrepair ⭐ 115

DrRepair: Learning to Repair Programs from Error Messages

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Reinforcement Learning On Graphs A Survey ⭐ 109

This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

Awesome Graph Causal Learning ⭐ 108

A list of Graph Causal Learning materials.

Ai Nlp Paper Readings ⭐ 107

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

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

Gnn_for_ehr ⭐ 103

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

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