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thunlp /GNNPapers

Must-read papers on graph neural networks (GNN)

UpdatedDec 20, 2023

pytorch_geometric_temporal

benedekrozemberczki /pytorch_geometric_temporal

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

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs

UpdatedFeb 9, 2025
Python

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

UpdatedFeb 24, 2021
Jupyter Notebook

tensorflow /gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

machine-learning deep-learning tensorflow gnn

UpdatedMar 12, 2025
Python

alibaba /graph-learn

An Industrial Graph Neural Network Framework

training graph tensorflow pytorch graph-neural-networks gnn aligraph graphlearn dynamic-graph gnn-framework gnn-inference dynamic-graph-service

UpdatedJul 1, 2024
C++

CapsGNN

benedekrozemberczki /CapsGNN

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

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolution node2vec graph-classification capsule-network graph-attention-networks capsule-neural-networks graph-attention-model struc2vec graph-convolution gnn graph-neural-network capsgnn

UpdatedMar 18, 2023
Python

tsinghua-fib-lab /GNN-Recommender-Systems

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

information-retrieval recommendation-system recommender-system recommendation recommendation-algorithms graph-convolutional-networks gcn graph-neural-networks graph-representation-learning gnn

UpdatedDec 17, 2022

gunrock

gunrock /gunrock

Programmable CUDA/C++ GPU Graph Analytics

algorithm cxx algorithms cpp graph graph-algorithms hpc gpu parallel-computing cuda graph-processing essentials graph-analytics sparse-matrix graph-engine gunrock graph-primitives graph-neural-networks gnn

UpdatedJul 30, 2024
C++

shenweichen /GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gcn graphsage gat graph-attention gnn

UpdatedJan 11, 2023
Python

SimGNN

benedekrozemberczki /SimGNN

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

machine-learning deep-learning neural-network tensorflow sklearn pytorch attention-mechanism network-embedding wsdm ged gcn graph-embedding graph-classification tensor-network graph-similarity graph-convolution graph-attention gnn graph-edit-distance simgnn

UpdatedJan 12, 2023
Python

datasets

benedekrozemberczki /datasets

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

data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network

UpdatedMar 16, 2024

joeat1 /GNN_note

图神经网络整理

survey gnn graph-neural-network

UpdatedAug 11, 2021

hazdzz /STGCN

The PyTorch implementation of STGCN.

pytorch gcn tcn gnn road-traffic-prediction

UpdatedMar 11, 2025
Python

chaitjo /efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

knowledge-distillation graph-convolutional-networks graph-neural-networks graph-representation-learning scalable-deep-learning gnn efficient-neural-networks contrastive-learning efficient-deep-learning

UpdatedFeb 4, 2023
Python

libgrape-lite

alibaba /libgrape-lite

🍇 A C++ library for parallel graph processing (GRAPE) 🍇

grape library cxx graph graph-algorithms gpu parallel mpi header-only graph-theory gnn

UpdatedSep 25, 2024
C++

microsoft /ptgnn

A PyTorch Graph Neural Network Library

deep-learning pytorch geometric-deep-learning graph-neural-networks gnn

UpdatedFeb 1, 2022
Python

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).

deep-learning time-series pytorch attention anomaly-detection graph-attention-networks graph-neural-networks 2021 gnn mtad-gat

UpdatedJan 16, 2024
Python

kyzhouhzau /NLPGNN

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

nlp tf2 gin gan albert bert message-passing graph-convolutional-networks gcn textcnn graphsage bilstm-attention gnn tensorflow2 gpt2 bert-ner bert-cls albert-ner graph-classfication textgcn

UpdatedAug 14, 2024
Python

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

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

graph knowledge-graph papers federated-learning gnn graph-neural-network

UpdatedFeb 21, 2024

jw9730 /tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

graph pytorch transformer hypergraph self-attention gnn equivariance

UpdatedApr 11, 2023
Python

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