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Search results for python graph neural networks

graph-neural-networks x

597 search results found

Pytorch_geometric ⭐ 17,797

Graph Neural Network Library for PyTorch

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

Anomaly Detection Resources ⭐ 6,883

Anomaly detection related books, papers, videos, and toolboxes

Recbole ⭐ 2,637

A unified, comprehensive and efficient recommendation library

Stellargraph ⭐ 2,615

StellarGraph - Machine Learning on Graphs

Spektral ⭐ 2,259

Graph Neural Networks with Keras and Tensorflow 2.

Pytorch_geometric_temporal ⭐ 2,085

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

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

Supergluepretrainednetwork ⭐ 1,632

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

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!

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

A library for graph deep learning research

Cogdl ⭐ 1,437

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Capsgnn ⭐ 1,180

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

Torchdrug ⭐ 1,178

A powerful and flexible machine learning platform for drug discovery

Jraph ⭐ 1,141

A Graph Neural Network Library in Jax

Ktrain ⭐ 1,138

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

Awesome Self Supervised Gnn ⭐ 1,116

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

Deep_gcns_torch ⭐ 940

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

A Python Library for Graph Outlier Detection (Anomaly Detection)

An autoML framework & toolkit for machine learning on graphs.

Graphein ⭐ 837

Protein Graph Library

Deeprobust ⭐ 825

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

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).

Awesome Federated Learning On Graph And Tabular Data ⭐ 658

Federated learning on graph and tabular data related papers, frameworks, and datasets.

Pretrain Gnns ⭐ 617

Strategies for Pre-training Graph Neural Networks

Openhgnn ⭐ 611

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Chemicalx ⭐ 602

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

Graphwaveletneuralnetwork ⭐ 501

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

Efficient Gnns ⭐ 490

Code and resources on scalable and efficient Graph Neural Networks

Deepsnap ⭐ 461

Python library assists deep learning on graphs

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

Pick Pytorch ⭐ 442

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Graphcl ⭐ 417

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Graph Transformer ⭐ 408

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Gpt Gnn ⭐ 405

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

Awesome Deep Graph Clustering ⭐ 399

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

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

Graphgallery ⭐ 391

GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs).

Social Stgcnn ⭐ 360

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Neural_graph_collaborative_filtering ⭐ 339

Neural Graph Collaborative Filtering, SIGIR2019

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

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

Equibind ⭐ 321

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Heterogeneous Graph Neural Network

A PyTorch Graph Neural Network Library

Attentionwalk ⭐ 299

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

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

Mot_neural_solver ⭐ 295

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

Graphgps ⭐ 294

Recipe for a General, Powerful, Scalable Graph Transformer

Graphtransformer ⭐ 285

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Lanczosnetwork ⭐ 271

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

Graphmae ⭐ 253

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

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

Torch Quiver ⭐ 244

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

Person Reid 3d ⭐ 243

TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽

Graphstorm ⭐ 238

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Pyneuralogic ⭐ 230

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

Librecommender ⭐ 230

Versatile End-to-End Recommender System

Zincbase ⭐ 226

A batteries-included kit for knowledge graphs

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

Pro Gnn ⭐ 213

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

Deephypergraph ⭐ 213

A pytorch library for graph and hypergraph computation.

Geodiff ⭐ 211

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

Egnn Pytorch ⭐ 206

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

Seal Ci ⭐ 201

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

Splitter ⭐ 200

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

Spectral Clustering With Graph Neural Networks For Graph Pooling ⭐ 196

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Hierarchical Graph Pooling with Structure Learning

Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)

[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining

Mtad Gat Pytorch ⭐ 188

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).

Difformer ⭐ 177

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

Diffsbdd ⭐ 176

A Euclidean diffusion model for structure-based drug design.

Ai Competition Collections ⭐ 173

AI比赛经验帖子 & 训练和测试技巧帖子集锦（收集整理各种人工智能比赛经验帖）

Molecule Generation ⭐ 172

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

Awesome Gnn Systems ⭐ 172

A list of awesome GNN systems.

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

Role2vec ⭐ 157

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

Graph Convnet Tsp ⭐ 157

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

Histocartography ⭐ 153

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

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Diffnet ⭐ 143

Graph Neural Network based Social Recommendation Model. SIGIR2019.

Recstudio ⭐ 140

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

Deepergnn ⭐ 138

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

Graphrec_pytorch ⭐ 137

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

Gemnet_pytorch ⭐ 136

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Gnn Fakenews ⭐ 136

A collection of GNN-based fake news detection models.

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

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

Supergat ⭐ 128

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Lanegcn ⭐ 128

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

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