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Search results for graph neural networks

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869 search results found

Pytorch_geometric ⭐ 20,456

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!!

Anomaly Detection Resources ⭐ 7,616

Anomaly detection related books, papers, videos, and toolboxes

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

Graphscope ⭐ 3,033

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统图分析图查询图机器学习

Euler ⭐ 2,846

A distributed graph deep learning framework.

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Ai_tutorial ⭐ 2,395

精选机器学习，NLP，图像识别，深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

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

Cogdl ⭐ 1,671

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

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.

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

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

Graph Learn ⭐ 1,239

An Industrial Graph Neural Network Framework

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

Gunrock ⭐ 908

Programmable CUDA/C++ GPU Graph Analytics

Deeprobust ⭐ 904

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

Gnn4nlp Papers ⭐ 824

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Pretrain Gnns ⭐ 805

Strategies for Pre-training Graph Neural Networks

Gnns Recipe ⭐ 791

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

Powerful Gnns ⭐ 762

How Powerful are Graph Neural Networks?

Openhgnn ⭐ 737

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

Graphneuralnetwork ⭐ 721

《深入浅出图神经网络：GNN原理解析》配套代码

Pytorch_cluster ⭐ 700

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

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).

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

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

Gnn Recommender Systems ⭐ 551

An index of recommendation algorithms that are based on Graph Neural Networks.

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Graphgps ⭐ 508

Recipe for a General, Powerful, Scalable Graph Transformer

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)

Efficient Gnns ⭐ 490

Code and resources on scalable and efficient Graph Neural Networks

Awesome Graph Explainability Papers ⭐ 486

Papers about explainability of GNNs

Gluestick ⭐ 461

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

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

Gpt Gnn ⭐ 451

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

Pick Pytorch ⭐ 442

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

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

Decagon ⭐ 436

Graph convolutional neural network for multirelational link prediction

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

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

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)

Deephypergraph ⭐ 404

A pytorch library for graph and hypergraph computation.

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

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).

Awesome Gcn ⭐ 377

resources for graph convolutional networks （图卷积神经网络相关资源）

A knowledge graph and a set of tools for drug repurposing

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Social Stgcnn ⭐ 360

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

Egnn Pytorch ⭐ 340

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

Neural_graph_collaborative_filtering ⭐ 339

Neural Graph Collaborative Filtering, SIGIR2019

Geometricflux.jl ⭐ 334

Geometric Deep Learning for Flux

Graphgpt ⭐ 328

"GraphGPT: Graph Instruction Tuning for Large Language Models"

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

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

Infograph ⭐ 309

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Heterogeneous Graph Neural Network

Geometric Gnn Dojo ⭐ 307

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

Graphstorm ⭐ 306

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

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).

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).

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Gnn Communication Networks ⭐ 288

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

Graphtransformer ⭐ 285

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

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

Lanczosnetwork ⭐ 271

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

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