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Search results for python graph neural networks
graphneuralnetworks
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597 search results found
Pytorch_geometric
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17,797
Graph Neural Network Library for PyTorch
Dgl
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11,829
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Anomaly Detection Resources
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6,883
Anomaly detection related books, papers, videos, and toolboxes
Recbole
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2,637
A unified, comprehensive and efficient recommendation library
Stellargraph
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2,615
StellarGraph  Machine Learning on Graphs
Spektral
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2,259
Graph Neural Networks with Keras and Tensorflow 2.
Pytorch_geometric_temporal
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2,085
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Ogb
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1,678
Benchmark datasets, data loaders, and evaluators for graph machine learning
Supergluepretrainednetwork
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1,632
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Graph4nlp
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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!
Pgl
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1,507
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Dig
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1,496
A library for graph deep learning research
Cogdl
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1,437
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Torchdrug
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1,178
A powerful and flexible machine learning platform for drug discovery
Jraph
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1,141
A Graph Neural Network Library in Jax
Ktrain
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1,138
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Awesome Self Supervised Gnn
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1,116
Papers about pretraining and selfsupervised learning on Graph Neural Networks (GNN).
Deep_gcns_torch
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940
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Pygod
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881
A Python Library for Graph Outlier Detection (Anomaly Detection)
Autogl
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871
An autoML framework & toolkit for machine learning on graphs.
Graphein
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837
Protein Graph Library
Deeprobust
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825
A pytorch adversarial library for attack and defense methods on images and graphs
Powerful Gnns
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762
How Powerful are Graph Neural Networks?
Clustergcn
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691
A PyTorch implementation of "ClusterGCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Awesome Federated Learning On Graph And Tabular Data
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658
Federated learning on graph and tabular data related papers, frameworks, and datasets.
Pretrain Gnns
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617
Strategies for Pretraining Graph Neural Networks
Openhgnn
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611
This is an opensource toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Sr Gnn
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607
[AAAI 2019] Source code and datasets for "Sessionbased Recommendation with Graph Neural Networks"
Chemicalx
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602
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Dgl Lifesci
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558
Python package for graph neural networks in chemistry and biology
Graphwaveletneuralnetwork
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501
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Efficient Gnns
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490
Code and resources on scalable and efficient Graph Neural Networks
Deepsnap
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461
Python library assists deep learning on graphs
Qagnn
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453
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
Pick Pytorch
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442
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph LearningConvolutional Networks" (ICPR 2020)
Knowledge_graph_attention_network
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434
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Dgfraud
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432
A Deep Graphbased Toolbox for Fraud Detection
Graphcl
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417
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Graph Transformer
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408
Universal Graph Transformer SelfAttention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Gpt Gnn
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405
Code for KDD'20 "Generative PreTraining of Graph Neural Networks"
Awesome Deep Graph Clustering
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399
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Crslab
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397
CRSLab is an opensource toolkit for building Conversational Recommender System (CRS).
Graphgallery
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391
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs).
Social Stgcnn
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360
Code for "SocialSTGCNN: A Social SpatioTemporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Neural_graph_collaborative_filtering
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339
Neural Graph Collaborative Filtering, SIGIR2019
Re Net
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334
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
Appnp
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322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Equibind
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321
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Han
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307
Heterogeneous Graph Neural Network
Ptgnn
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305
A PyTorch Graph Neural Network Library
Attentionwalk
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299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Cogqa
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297
Source code and dataset for ACL 2019 paper "Cognitive Graph for MultiHop Reading Comprehension at Scale"
Mot_neural_solver
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295
Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).
Graphgps
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294
Recipe for a General, Powerful, Scalable Graph Transformer
Graphtransformer
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285
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLGAAAI'21.
Lanczosnetwork
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271
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Pna
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269
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Graphmae
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253
GraphMAE: SelfSupervised Masked Graph Autoencoders in KDD'22
Sgcn
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253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Torch Quiver
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244
PyTorch Library for LowLatency, HighThroughput Graph Learning on GPUs.
Person Reid 3d
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243
TNNLS'22 🗽 ParameterEfficient Person Reidentification in the 3D Space 🗽
Graphstorm
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238
Enterprise graph machine learning framework for billionscale graphs for ML scientists and data scientists.
Oanet
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231
Implementation of ICCV19 Paper "Learning TwoView Correspondences and Geometry Using OrderAware Network"
Pyneuralogic
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230
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Librecommender
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230
Versatile EndtoEnd Recommender System
Zincbase
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226
A batteriesincluded kit for knowledge graphs
Dance
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218
DANCE: A Deep Learning Library and Benchmark Platform for SingleCell Analysis
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Deephypergraph
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213
A pytorch library for graph and hypergraph computation.
Geodiff
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211
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Egnn Pytorch
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206
Implementation of E(n)Equivariant Graph Neural Networks, in Pytorch
Seal Ci
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201
A PyTorch implementation of "SemiSupervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Splitter
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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
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196
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
Hgp Sl
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194
Hierarchical Graph Pooling with Structure Learning
Agnn
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189
Zeroshot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
Dragon
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189
[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional LanguageKnowledge Graph Pretraining
Mtad Gat Pytorch
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188
PyTorch implementation of MTADGAT (Multivariate TimeSeries Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Difformer
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177
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Diffsbdd
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176
A Euclidean diffusion model for structurebased drug design.
Ai Competition Collections
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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
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172
Implementation of MoLeR: a generative model of molecular graphs which supports scaffoldconstrained generation
Awesome Gnn Systems
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172
A list of awesome GNN systems.
Deep Graph Matching Consensus
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170
Implementation of "Deep Graph Matching Consensus" in PyTorch
Kagnet
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158
KnowledgeAware Graph Networks for Commonsense Reasoning (EMNLPIJCNLP 19)
Role2vec
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157
A scalable Gensim implementation of "Learning Rolebased Graph Embeddings" (IJCAI 2018).
Graph Convnet Tsp
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157
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Histocartography
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153
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graphanalytics in computational pathology.
Grand
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146
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for SemiSupervised Learning on Graphs"
Diffnet
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143
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Recstudio
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140
A highlymodularized and recommendationefficient recommendation library based on PyTorch.
Deepergnn
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138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Graphrec_pytorch
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137
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
Gemnet_pytorch
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136
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
Gnn Fakenews
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136
A collection of GNNbased fake news detection models.
Step
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135
Code for our SIGKDD'22 paper PretrainingEnhanced SpatialTemporal Graph Neural Network For Multivariate Time Series Forecasting.
Sgas
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129
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
Supergat
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128
[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with SelfSupervision
Lanegcn
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128
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
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