gnn

There are 28 repositories under gnn topic.

thunlp / GNNPapers
Must-read papers on graph neural networks (GNN)
gnn paper-list
16566
pytorch_geometric_temporal
benedekrozemberczki / pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
deep-learning gcn gnn graph-convolution graph-convolutional-networks graph-embedding graph-neural-networks network-embedding network-science node-embedding pytorch spatial-analysis spatial-data spatio-temporal-analysis spatio-temporal-data spatiotemporal temporal-data temporal-graphs temporal-networks
Language:Python 2868
FighterLYL / GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
gcn gnn graph-neural-network
Language:Jupyter Notebook 1817
tensorflow / gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
deep-learning gnn machine-learning tensorflow
Language:Python 1487
alibaba / graph-learn
An Industrial Graph Neural Network Framework
gnn aligraph graphlearn tensorflow pytorch graph graph-neural-networks gnn-framework dynamic-graph training dynamic-graph-service gnn-inference
Language:C++ 1326
CapsGNN
benedekrozemberczki / CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
capsgnn capsule-network capsule-neural-networks convolution deep-learning deepwalk gnn graph-attention-model graph-attention-networks graph-classification graph-convolution graph-neural-network machine-learning node2vec pytorch research sklearn struc2vec tensorflow
Language:Python 1269
tsinghua-fib-lab / GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
gnn graph-neural-networks gcn graph-convolutional-networks recommendation-system recommendation recommendation-algorithms recommender-system graph-representation-learning information-retrieval
1046
gunrock
gunrock / gunrock
Programmable CUDA/C++ GPU Graph Analytics
gunrock cuda graph-processing graph-analytics gpu graph-primitives graph-engine hpc cxx algorithms cpp essentials graph graph-algorithms gnn graph-neural-networks algorithm parallel-computing sparse-matrix
Language:C++ 1039
shenweichen / GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
gat gcn gnn graph-attention graphsage
Language:Python 832
SimGNN
benedekrozemberczki / SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
graph-edit-distance ged graph-similarity gcn graph-convolution tensor-network tensorflow pytorch neural-network deep-learning machine-learning graph-attention attention-mechanism graph-classification sklearn graph-embedding network-embedding wsdm simgnn gnn
Language:Python 798
datasets
benedekrozemberczki / datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
benchmark community-detection data-science dataset deepwalk dimensionality-reduction gcn gnn graph-convolution graph-embedding graph-neural-network graph2vec link-prediction machine-learning network-analysis network-embedding network-science node-classification node-embedding node2vec
639
hazdzz / stgcn
The PyTorch implementation of STGCN.
pytorch gcn tcn road-traffic-prediction gnn
Language:Python 607
joeat1 / GNN_note
图神经网络整理
gnn graph-neural-network survey
566
chaitjo / efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
graph-neural-networks graph-representation-learning graph-convolutional-networks gnn efficient-deep-learning efficient-neural-networks scalable-deep-learning contrastive-learning knowledge-distillation
Language:Python 534
libgrape-lite
alibaba / libgrape-lite
🍇 A C++ library for parallel graph processing (GRAPE) 🍇
cxx gnn gpu grape graph graph-algorithms graph-theory header-only library mpi parallel
Language:C++ 415
microsoft / ptgnn
A PyTorch Graph Neural Network Library
graph-neural-networks deep-learning pytorch geometric-deep-learning gnn
Language:Python 374
ML4ITS / mtad-gat-pytorch
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).
attention anomaly-detection gnn 2021 graph-neural-networks graph-attention-networks pytorch deep-learning time-series mtad-gat
Language:Python 354
tsl
TorchSpatiotemporal / tsl
tsl: a PyTorch library for processing spatiotemporal data.
deep-learning gnn graph-neural-networks pytorch spatio-temporal spatio-temporal-analysis spatio-temporal-data spatio-temporal-graph spatio-temporal-prediction spatiotemporal spatiotemporal-data spatiotemporal-data-analysis spatiotemporal-forecasting temporal-data temporal-graphs
Language:Python 349
jw9730 / tokengt
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
equivariance gnn graph hypergraph pytorch self-attention transformer
Language:Python 340
huweibo / Awesome-Federated-Learning-on-Graph-and-GNN-papers
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
federated-learning graph-neural-network knowledge-graph gnn graph papers
336
kyzhouhzau / NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
tensorflow2 bert gpt2 albert bert-ner bert-cls textcnn bilstm-attention albert-ner tf2 message-passing gcn gin gan graph-convolutional-networks graphsage graph-classfication textgcn nlp gnn
Language:Python 336
andresprados / SPIGA
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
300w bmvc2022 cnn cofw face-alignment gnn head-pose-estimation headpose-estimation merlrav pytorch wflw
Language:Jupyter Notebook 328
gasteigerjo / ppnp
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
gcn tensorflow pytorch machine-learning deep-learning pagerank graph-algorithms gnn graph-classification graph-neural-networks
Language:Jupyter Notebook 321
Lin-Yijie / Graph-Matching-Networks
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).
gnn deep-learning graph-neural-networks pytorch
Language:Python 304
SciML / FluxNeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
julia fourier-transform gnn pde operator deep-learning partial-differential-equations automatic-differentiation deeponet differential-equations scientific-machine-learning fourier-neural-operator
Language:Julia 274
NYUMedML / GNN_for_EHR
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
alzheimer-disease-prediction deep-learning disease-prediction ehr electronic-health-records gnn graph-neural-networks pytorch
Language:Python 264
Liang-ZX / VectorNet
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
gnn multimodality trajectory-prediction
Language:Jupyter Notebook 258
xmindflow / Awesome_Mamba
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
computer-vision deep-learning gnn image-enhancement mamba mamba-state-space-models medical-imaging natural-language-processing remote-sensing speech-processing state-space-model time-series large-language-models llm medical-image-analysis medical-image-processing medical-image-segmentation survey
254
gnn-lspe
vijaydwivedi75 / gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
graph-neural-networks transformers graph-transformer positional-encoding graph-deep-learning transformer-networks attention graphs molecules gnn-lspe lspe graph-representation-learning geometric-deep-learning representation-learning gnn message-passing
Language:Python 253
BUAA-CI-LAB / Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
acceleration accelerator deep-learning gcn gnn graph graph-algorithms graph-computing graph-convolutional-networks graph-neural-networks literature paper-list reading-list
252
basiralab / GNNs-in-Network-Neuroscience
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
graph-neural-network graph-prediction biomarker network-neuroscience brain-connectivity brain-disorders geometric-deep-learning gans predictive-intelligence graph-integration graph-fusion graph-synthesis graph-superresolution graph-timeseries gnn gnns brain-gnn
233
datawhalechina / grape-book
图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book
deep-learning gnn graph graph-neural-networks machine-learning tutorial
Language:HTML 226
BaeSeulki / NL2LF
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
nlidb nl2sql semantic-parsing table-qa spider wikisql gnn sql-generation nl2code nl2lf text2sql sql-parsing
214
awslabs / realtime-fraud-detection-with-gnn-on-dgl
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
aws-cdk gnn dgl fraud-detection aws sagemaker neptune graph-database documentdb appsync amplify-js
Language:TypeScript 213
SEAL-CI
benedekrozemberczki / SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn graph-convolutional-networks active-learning active-learning-module deep-learning pytorch tensorflow graph-classification node-classification deep-learning-algorithms deepwalk node2vec graph-neural-network graph-representation-learning network-embedding graph-embedding graph-convolution machine-learning-algorithms gnn graph-neural-networks
Language:Python 211
THUDM / GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
data-augmentation gnn graph-neural-networks graphs neurips-2020 semi-supervised-learning
Language:Python 210

gnn

thunlp / GNNPapers

benedekrozemberczki / pytorch_geometric_temporal

FighterLYL / GraphNeuralNetwork

tensorflow / gnn

alibaba / graph-learn

benedekrozemberczki / CapsGNN

tsinghua-fib-lab / GNN-Recommender-Systems

gunrock / gunrock

shenweichen / GraphNeuralNetwork

benedekrozemberczki / SimGNN

benedekrozemberczki / datasets

hazdzz / stgcn

joeat1 / GNN_note

chaitjo / efficient-gnns

alibaba / libgrape-lite

microsoft / ptgnn

ML4ITS / mtad-gat-pytorch

TorchSpatiotemporal / tsl

jw9730 / tokengt

huweibo / Awesome-Federated-Learning-on-Graph-and-GNN-papers

kyzhouhzau / NLPGNN

andresprados / SPIGA

gasteigerjo / ppnp

Lin-Yijie / Graph-Matching-Networks

SciML / FluxNeuralOperators.jl

NYUMedML / GNN_for_EHR

Liang-ZX / VectorNet

xmindflow / Awesome_Mamba

vijaydwivedi75 / gnn-lspe

BUAA-CI-LAB / Literatures-on-GNN-Acceleration

basiralab / GNNs-in-Network-Neuroscience

datawhalechina / grape-book

BaeSeulki / NL2LF

awslabs / realtime-fraud-detection-with-gnn-on-dgl

benedekrozemberczki / SEAL-CI

THUDM / GRAND