Graph Neural Network Library for PyTorch
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Jun 6, 2025 - Python
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graph-convolutional-networks
Here are 284 public repositories matching this topic...
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
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Mar 18, 2023 - Python
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
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Apr 10, 2024 - Python
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
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Jun 5, 2025 - Python
Graph Convolutional Networks for Text Classification. AAAI 2019
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Dec 29, 2021 - Python
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
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Jul 31, 2022 - Python
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
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Jul 23, 2024 - Python
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
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May 6, 2025 - Python
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
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May 22, 2024 - Python
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
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Nov 6, 2022 - Python
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
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Mar 24, 2023 - Python
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
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Apr 20, 2022 - Python
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
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Nov 26, 2023 - Python
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
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Apr 20, 2023 - Python
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
python pytorch neural-networks unsupervised-learning graph-convolutional-networks unsupervised-node-embedding deep-graph-infomax
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Nov 1, 2022 - Python
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
deep-learning pytorch link-prediction graph-convolutional-networks graph-representation-learning relation-embeddings iclr2020
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Jul 25, 2024 - Python
TypeDB-ML is the Machine Learning integrations library for TypeDB
python machine-learning ai neural-network graph tensorflow graphs ml artificial-intelligence knowledge-graph knowledgebase knowledge-graph-completion relational-learning link-prediction graph-convolutional-networks grakn graql geometric-deep-learning graph-networks
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Nov 18, 2023 - Python
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
realtime graph-convolutional-networks gcnn pedestrians graph-neural-networks human-trajectory-prediction pedestrian-trajectories spatio-temporal-graphs social-stgcnn
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Jan 27, 2023 - Python
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
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Feb 4, 2023 - Python
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
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Mar 25, 2021 - Python
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