Graph Neural Network Library for PyTorch
-
Updated
Oct 16, 2025 - Python
#
graph-neural-networks
Here are 1,508 public repositories matching this topic...
Python package built to ease deep learning on graph, on top of existing DL frameworks.
-
Updated
Jul 31, 2025 - Python
Anomaly detection related books, papers, videos, and toolboxes
machine-learning data-mining awesome awesome-list outlier-detection unsupervised-learning fraud-detection time-series-analysis anomaly-detection fraud outlier outlier-ensembles graph-neural-networks
-
Updated
Apr 24, 2025 - Python
A unified, comprehensive and efficient recommendation library
recommendations deep-learning pytorch collaborative-filtering knowledge-graph recommender recommendation-system recommender-systems ctr-prediction graph-neural-networks sequential-recommendation
-
Updated
Feb 24, 2025 - Python
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
-
Updated
Aug 30, 2024 - 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
-
Updated
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
-
Updated
Sep 18, 2025 - Python
Graph Neural Networks with Keras and Tensorflow 2.
-
Updated
Jan 21, 2024 - Python
Benchmark datasets, data loaders, and evaluators for graph machine learning
-
Updated
May 6, 2025 - Python
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
security machine-learning natural-language-processing information-retrieval data-mining awesome privacy database computer-vision system deep-learning graph paper tabular-data efficiency artificial-intelligence knowledge-graph federated-learning graph-neural-networks federated-learning-framework
-
Updated
Oct 5, 2025 - Python
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
leaderboard pytorch link-prediction graph-embedding graph-classification node-classification graph-neural-networks gnn-model
-
Updated
Feb 1, 2024 - Python
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
machine-learning deep-learning graph-mining graph-neural-networks self-supervised-learning pre-training pretraining graph-self-supervised-learning
-
Updated
Feb 2, 2024 - Python
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
-
Updated
Jun 24, 2024 - Python
A powerful and flexible machine learning platform for drug discovery
-
Updated
Aug 12, 2024 - Python
A Python Library for Graph Outlier Detection (Anomaly Detection)
python machine-learning opensource toolkit pytorch outlier-detection deeplearning fraud-detection security-tools anomaly-detection graph-neural-networks graphmining graph-anomaly-detection
-
Updated
Nov 14, 2024 - Python
A Graph Neural Network Library in Jax
-
Updated
Mar 18, 2024 - Python
How Powerful are Graph Neural Networks?
-
Updated
Jul 1, 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
-
Updated
Jul 31, 2022 - Python
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
knowledge-graph recommender-system graph-attention-networks graph-neural-networks kdd2019 high-order-connectivity knowledge-based-recommendation knowledge-aware-recommendation explainable-recommendation embedding-propagation knowledge-graph-dataset knowledge-graph-for-recommendation
-
Updated
Aug 5, 2020 - Python
An autoML framework & toolkit for machine learning on graphs.
machine-learning deep-learning pytorch automl neural-architecture-search hyper-parameter-optimization graph-neural-networks pytorch-geometric
-
Updated
Aug 8, 2024 - Python
Improve this page
Add a description, image, and links to the graph-neural-networks topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the graph-neural-networks topic, visit your repo's landing page and select "manage topics."