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Search results for graph convolutional networks

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215 search results found

Pytorch_geometric ⭐ 20,456

Graph Neural Network Library for PyTorch

Awesome Graph Classification ⭐ 4,703

A collection of important graph embedding, classification and representation learning papers with implementations.

Graph Based Deep Learning Literature ⭐ 4,418

links to conference publications in graph-based deep learning

Euler ⭐ 2,846

A distributed graph deep learning framework.

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Mmskeleton ⭐ 2,604

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Pytorch_geometric_temporal ⭐ 2,386

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

Graph Fraud Detection Papers ⭐ 1,148

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

Text_gcn ⭐ 1,008

Graph Convolutional Networks for Text Classification. AAAI 2019

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.

Gnns Recipe ⭐ 791

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

Graph_nets ⭐ 769

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Clustergcn ⭐ 691

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

Awesome Deep Graph Clustering ⭐ 626

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

Gnns For Nlp ⭐ 619

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

Chainer Chemistry ⭐ 609

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

Gnn Recommender Systems ⭐ 551

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

Typedb Ml ⭐ 550

TypeDB-ML is the Machine Learning integrations library for TypeDB

Compgcn ⭐ 519

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

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

Pose2mesh_release ⭐ 474

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

Openchem ⭐ 450

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Pick Pytorch ⭐ 442

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

Decagon ⭐ 436

Graph convolutional neural network for multirelational link prediction

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

Fastgcn ⭐ 377

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

Social Stgcnn ⭐ 360

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

Gcn_clustering ⭐ 314

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615

Gnn Communication Networks ⭐ 288

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

Lanczosnetwork ⭐ 271

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

Structural Deep Clustering Network

Graph_nn ⭐ 244

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

Graph Neural Pde ⭐ 212

Graph Neural PDEs

Seal Ci ⭐ 206

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

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Graph Convolution Nlp ⭐ 200

Graph Convolution Network for NLP

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Spatio Temporal Papers ⭐ 194

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Graph Cnn In 3d Point Cloud Classification ⭐ 179

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Literatures On Gnn Acceleration ⭐ 173

A reading list for deep graph learning acceleration.

Deepinf ⭐ 171

DeepInf: Social Influence Prediction with Deep Learning

Wordgcn ⭐ 167

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

A tensorflow implementation of Knowledge Graph Convolutional Networks

Deepfri ⭐ 156

Deep functional residue identification

Diffnet ⭐ 143

Graph Neural Network based Social Recommendation Model. SIGIR2019.

Graph_convolutional_lstm ⭐ 140

Traffic Graph Convolutional Recurrent Neural Network

Gcn With Bert ⭐ 140

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

Pyg Lib ⭐ 137

Low-Level Graph Neural Network Operators for PyG

Braingb ⭐ 131

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

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

Traffic Prediction Open Code Summary ⭐ 118

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

Person_search_gcn ⭐ 112

This repository hosts the code for our paper “Learning Context Graph for Person Search”, CVPR2019 Oral

A graph-based deep learning framework for life science

Pytorch Graphsage ⭐ 97

Representation learning on large graphs using stochastic graph convolutions.

Framework for zero-shot learning with knowledge graphs.

Pytorch Agnn ⭐ 94

Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

Pytorch Gnns ⭐ 92

The implement of GNN based on Pytorch

Graph Neural Network Course ⭐ 89

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Kgcn Pytorch ⭐ 84

KGCN pytorch model implementation

Graphtsne ⭐ 82

PyTorch Implementation of GraphTSNE, ICLR’19

Learning2dance_cag_2020 ⭐ 79

PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

Tensorflow implementation of Graph Convolutional Network

Crystal Graph Neural Networks

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

Gossipnet ⭐ 74

Non-maximum suppression for object detection in a neural network

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

Gcn_keras ⭐ 71

图卷积神经网络 Graph Convolutional Network with Keras

Signnet Basisnet ⭐ 71

SignNet and BasisNet

Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

Awesome Graph Representation Learning ⭐ 66

A curated list of awesome graph representation learning.

Chainer Graph Cnn ⭐ 65

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

Graphml Tutorials ⭐ 63

Tutorials for Machine Learning on Graphs

Extremely Fine Grained Entity Typing ⭐ 61

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

Disease_gene_prioritization_gcn ⭐ 60

PGCN: Disease gene prioritization by disease and gene embedding through GCN

implementation of STGCN for traffic prediction in IJCAI2018

Neuraldater ⭐ 59

ACL 2018: Dating Documents using Graph Convolution Networks

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

TensorFlow implementation of Deep Graph Infomax

Bayesgrad ⭐ 48

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Hypergcn ⭐ 48

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Proteingcn ⭐ 47

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Unsupervised learning of atomic scale dynamics from molecular dynamics.

Graphcon ⭐ 45

GraphCON (ICML 2022)

Graph Nvp ⭐ 44

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Deep Graph-Convolutional Image Denoising

[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin

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