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pyg-team /pytorch_geometric

Graph Neural Network Library for PyTorch

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

UpdatedJul 11, 2025
Python

naganandy /graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

deep-learning graph neural-networks graph-convolutional-networks graph-neural-networks graph-representation-learning conference-publications

UpdatedMay 23, 2025
Jupyter Notebook

awesome-graph-classification

benedekrozemberczki /awesome-graph-classification

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

deepwalk kernel-methods attention-mechanism network-embedding graph-kernel graph-kernels graph-convolutional-networks classification-algorithm node2vec weisfeiler-lehman graph-embedding graph-classification graph-attention-networks graph-representation-learning graph2vec deep-graph-kernels netlsd graph-attention-model structural-attention node-embedding

UpdatedMar 18, 2023
Python

stellargraph /stellargraph

StellarGraph - Machine Learning on Graphs

python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library

UpdatedApr 10, 2024
Python

alibaba /euler

A distributed graph deep learning framework.

deep-learning graph network-embedding random-walk graph-convolutional-networks gcn node2vec graph-embedding graph-learning graphsage graph-neural-networks ggnn

UpdatedAug 19, 2023
C++

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

UpdatedJul 5, 2025
Python

safe-graph /graph-fraud-detection-papers

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

security data-science machine-learning data-mining deep-learning graph-algorithms survey dataset outlier-detection papers academic-publications spam-detection graph-convolutional-networks fraud-detection anomaly-detection graph-neural-networks awsome-list

UpdatedMay 26, 2025

yao8839836 /text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

nlp deep-learning text-classification graph-convolutional-networks

UpdatedDec 29, 2021
Python

dair-ai /GNNs-Recipe

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

machine-learning deep-learning graph graph-convolutional-networks graph-neural-networks

UpdatedJan 6, 2023

dsgiitr /graph_nets

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

pytorch deepwalk graph-convolutional-networks graph-embedding graph-attention-networks chebyshev-polynomials graph-representation-learning node-embedding graph-sage

UpdatedMar 28, 2025
Jupyter Notebook

lightaime /deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021):https://www.deepgcns.org

data-mining bioinformatics computer-vision deep-learning cheminformatics social-network pytorch 3d-point-clouds graph-convolutional-networks science-research geometric-deep-learning graph-neural-networks deep-gcns

UpdatedJul 31, 2022
Python

DSE-MSU /DeepRobust

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

machine-learning deep-neural-networks deep-learning defense graph-mining graph-convolutional-networks adversarial-examples adversarial-attacks graph-neural-networks

UpdatedJun 26, 2025
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

yueliu1999 /Awesome-Deep-Graph-Clustering

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

machine-learning data-mining deep-learning clustering surveys representation-learning data-mining-algorithms network-embedding graph-convolutional-networks gcn graph-embedding graph-neural-networks self-supervised-learning deep-clustering graphclustering

UpdatedMay 6, 2025
Python

IndexFziQ /GNN4NLP-Papers

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

natural-language-processing knowledge-graph question-answering knowledge-representation graph-convolutional-networks knowledge-based-systems paperlist paper-list graph-neural-network graph-attention-network heterogeneous-graphs

UpdatedMay 9, 2023

shubhomoydas /ad_examples

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 Convol…

streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack

UpdatedMay 22, 2024
Python

ClusterGCN

benedekrozemberczki /ClusterGCN

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

deep-learning neural-network clustering community-detection pytorch deepwalk louvain metis graph-convolutional-networks gcn graph-clustering node2vec node-classification graphsage graph-neural-networks graph2vec diff2vec gemsec musae graph-convolution

UpdatedNov 6, 2022
Python

GNNs-for-NLP

svjan5 /GNNs-for-NLP

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

tutorial deep-learning tensorflow pytorch graph-convolutional-networks emnlp2019

UpdatedMar 24, 2023
Python

safe-graph /DGFraud

A Deep Graph-based Toolbox for Fraud Detection

security machine-learning opensource graph graph-algorithms toolkit datascience outlier-detection fraud-prevention datamining yelp-dataset graph-convolutional-networks fraud-detection security-tools financial-engineering anomaly-detection graph-neural-networks dblp-dataset spamdetection graphneuralnetwork

UpdatedApr 20, 2022
Python

Mariewelt /OpenChem

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

machine-learning deep-neural-networks deep-learning computational-biology pytorch computational-chemistry drug-discovery drug-design predictive-modeling graph-convolutional-networks qsar

UpdatedNov 26, 2023
Python

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