Graph Neural Networks ML Frameworks

Frameworks, libraries, and tutorials for building graph neural networks (GNNs) and applying them to structured data like graphs, networks, and relational problems. Does NOT include general knowledge graphs, link prediction without GNN focus, or non-graph deep learning architectures.

There are 274 graph neural networks frameworks tracked. 2 score above 70 (verified tier). The highest-rated is pyg-team/pytorch_geometric at 93/100 with 23,561 stars and 1,165,902 monthly downloads. 2 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	pyg-team/pytorch_geometric Graph Neural Network Library for PyTorch	93	Verified	23,561	Python
2	a-r-j/graphein Protein Graph Library	74	Verified	1,165	Jupyter Notebook
3	graspologic-org/graspologic Python package for graph statistics	68	Established	974	Python
4	snap-stanford/ogb Benchmark datasets, data loaders, and evaluators for graph machine learning	68	Established	2,076	Python
5	dmlc/dgl Python package built to ease deep learning on graph, on top of existing DL...	66	Established	14,245	Python
6	tigergraph/pyTigerGraph Python package for utilizing TigerGraph Databases	66	Established	35	Python
7	ORNL/HydraGNN Distributed PyTorch implementation of multi-headed graph convolutional...	65	Established	103	Python
8	stellargraph/stellargraph StellarGraph - Machine Learning on Graphs	65	Established	3,047	Python
9	pykale/pykale Knowledge-Aware machine LEarning (KALE): accessible machine learning from...	63	Established	479	Python
10	danielegrattarola/spektral Graph Neural Networks with Keras and Tensorflow 2.	60	Established	2,395	Python
11	raamana/graynet Subject-wise networks from structural MRI, both vertex- and voxel-wise...	60	Established	39	Jupyter Notebook
12	naganandy/graph-based-deep-learning-literature links to conference publications in graph-based deep learning	59	Established	5,036	Jupyter Notebook
13	benedekrozemberczki/karateclub Karate Club: An API Oriented Open-source Python Framework for Unsupervised...	58	Established	2,276	Python
14	snap-stanford/deepsnap Python library assists deep learning on graphs	57	Established	568	Python
15	tensorflow/gnn TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow...	57	Established	1,516	Python
16	Snapchat/GiGL Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference...	57	Established	65	Python
17	raamana/hiwenet Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience	56	Established	8	Python
18	benedekrozemberczki/littleballoffur Little Ball of Fur - A graph sampling extension library for NetworKit and...	55	Established	713	Python
19	QUVA-Lab/escnn Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/	55	Established	508	Python
20	pykeen/pykeen 🤖 A Python library for learning and evaluating knowledge graph embeddings	55	Established	1,958	Python
21	BUPT-GAMMA/GammaGL A multi-backend graph learning library.	54	Established	244	Python
22	pyg-team/pyg-lib Low-Level Graph Neural Network Operators for PyG	54	Established	224	C++
23	zjukg/NeuralKG [Tool] For Knowledge Graph Representation Learning	54	Established	393	Python
24	neo4j/graph-data-science-client A Python client for the Neo4j Graph Data Science (GDS) library	54	Established	236	Python
25	Lin-Yijie/Graph-Matching-Networks PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with...	53	Established	320	Python
26	graphnet-team/graphnet A Deep learning library for neutrino telescopes	52	Established	111	Python
27	alibaba/euler A distributed graph deep learning framework.	51	Established	2,900	C++
28	benedekrozemberczki/pytorch_geometric_temporal PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural...	50	Established	2,962	Python
29	DeepGraphLearning/LiteratureDL4Graph A comprehensive collection of recent papers on graph deep learning	50	Established	3,078	—
30	AnacletoLAB/grape 🍇 GRAPE is a Rust/Python Graph Representation Learning library for...	50	Established	622	Jupyter Notebook
31	awslabs/graphstorm Enterprise graph machine learning framework for billion-scale graphs for ML...	50	Established	450	Python
32	graphdeeplearning/benchmarking-gnns Repository for benchmarking graph neural networks (JMLR 2023)	50	Established	2,650	Jupyter Notebook
33	ai4iacts/hexagdly Process hexagonally sampled data with PyTorch	49	Emerging	98	Jupyter Notebook
34	google-deepmind/graph_nets Build Graph Nets in Tensorflow	48	Emerging	5,396	Python
35	gordicaleksa/pytorch-GAT My implementation of the original GAT paper (Veličković et al.). I've...	48	Emerging	2,655	Jupyter Notebook
36	PyGCL/PyGCL PyGCL: A PyTorch Library for Graph Contrastive Learning	48	Emerging	958	Python
37	geoelements/gns Graph Network Simulator	47	Emerging	214	Python
38	tgm-team/tgm Efficient and Modular ML on Temporal Graphs	47	Emerging	96	Python
39	benedekrozemberczki/awesome-community-detection A curated list of community detection research papers with implementations.	47	Emerging	2,432	Python
40	SINr-Embeddings/sinr The SINr approach to train interpretable word and graph embeddings	46	Emerging	20	Jupyter Notebook
41	graph-part/graph-part GraphPart, a data partitioning method for ML on biological sequences	45	Emerging	33	Jupyter Notebook
42	mdeff/cnn_graph Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	44	Emerging	1,369	Jupyter Notebook
43	AnoushkaVyas/GraphZoo Facilitating learning, using, and designing graph processing...	44	Emerging	27	Jupyter Notebook
44	GT4SD/gt4sd-core GT4SD, an open-source library to accelerate hypothesis generation in the...	44	Emerging	370	Jupyter Notebook
45	danielegrattarola/keras-gat Keras implementation of the graph attention networks (GAT) by Veličković et...	44	Emerging	494	Python
46	andreagemelli/doc2graph Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.	44	Emerging	137	Jupyter Notebook
47	OriginTrail/dkg.py :snake: Python :snake: SDK for OriginTrail Decentralized Knowledge Graph interactions	44	Emerging	24	Python
48	iMoonLab/HGNN Hypergraph Neural Networks (AAAI 2019)	43	Emerging	829	Python
49	weihua916/powerful-gnns How Powerful are Graph Neural Networks?	43	Emerging	1,275	Python
50	Tiiiger/SGC official implementation for the paper "Simplifying Graph Convolutional Networks"	43	Emerging	848	Python
51	benedekrozemberczki/SimGNN A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast...	43	Emerging	810	Python
52	benedekrozemberczki/GraphWaveletNeuralNetwork A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)	43	Emerging	605	Python
53	FanzhenLiu/Awesome-Deep-Community-Detection Deep and conventional community detection related papers, implementations,...	43	Emerging	557	—
54	alibaba/graphlearn-for-pytorch A GPU-accelerated graph learning library for PyTorch, facilitating the...	43	Emerging	146	Python
55	awslabs/dgl-ke High performance, easy-to-use, and scalable package for learning large-scale...	43	Emerging	1,328	Python
56	iMoonLab/DeepHypergraph A pytorch library for graph and hypergraph computation.	43	Emerging	836	Python
57	danielzuegner/netgan Implementation of the paper "NetGAN: Generating Graphs via Random Walks".	42	Emerging	198	Jupyter Notebook
58	benedekrozemberczki/ClusterGCN A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for...	42	Emerging	806	Python
59	malllabiisc/CompGCN ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks	42	Emerging	634	Python
60	divelab/DIG A library for graph deep learning research	41	Emerging	2,002	Python
61	ChrisCummins/ProGraML A Graph-based Program Representation for Data Flow Analysis and Compiler...	41	Emerging	321	C++
62	graph4ai/graph4nlp Graph4nlp is the library for the easy use of Graph Neural Networks for NLP....	40	Emerging	1,686	Python
63	lightaime/deep_gcns_torch Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN...	40	Emerging	1,187	Python
64	DrHB/icecube-2nd-place IceCube Neutrino Detection \| Transformer + GNN \|EPJC 2025	40	Emerging	23	Python
65	gasteigerjo/ppnp PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet...	40	Emerging	323	Jupyter Notebook
66	yinboc/DGP Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019	40	Emerging	321	Python
67	BorgwardtLab/TOGL Topological Graph Neural Networks (ICLR 2022)	39	Emerging	126	Python
68	CRIPAC-DIG/GRACE [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive...	39	Emerging	346	Python
69	twitter-research/graph-neural-pde Graph Neural PDEs	39	Emerging	339	Jupyter Notebook
70	aimat-lab/gcnn_keras Graph convolutions in Keras with TensorFlow, PyTorch or Jax.	39	Emerging	118	Jupyter Notebook
71	benedekrozemberczki/PDN The official PyTorch implementation of "Pathfinder Discovery Networks for...	39	Emerging	59	Python
72	dair-ai/GNNs-Recipe 🟠 A study guide to learn about Graph Neural Networks (GNNs)	39	Emerging	1,280	—
73	fpichi/gca-rom GCA-ROM is a library which implements graph convolutional autoencoder...	39	Emerging	37	Jupyter Notebook
74	pathpy/pathpyG GPU-accelerated Next-Generation Network Analytics and Graph Learning for...	38	Emerging	55	Python
75	doujiang-zheng/Awesome-Graph-Learning-Papers-List Advances on machine learning of graphs, covering the reading list of recent...	38	Emerging	232	Jupyter Notebook
76	Visual-Intelligence-UMN/GNN-101 Visual Learning of Graph Neural Networks in Your Web Browser	38	Emerging	36	TypeScript
77	benedekrozemberczki/AttentionWalk A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via...	38	Emerging	326	Python
78	benedekrozemberczki/APPNP A PyTorch implementation of "Predict then Propagate: Graph Neural Networks...	38	Emerging	374	Python
79	benedekrozemberczki/MixHop-and-N-GCN An implementation of "MixHop: Higher-Order Graph Convolutional Architectures...	38	Emerging	407	Python
80	snap-research/graphless-neural-networks [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New...	37	Emerging	95	Python
81	deepkashiwa20/MepoGNN [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks	37	Emerging	31	Python
82	pykeen/ilpc2022 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022	37	Emerging	85	Python
83	PKU-DAIR/SGL A scalable graph learning toolkit for extremely large graph datasets....	37	Emerging	157	Python
84	atomicarchitects/equiformer_v2 [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to...	37	Emerging	328	Python
85	raunakkmr/GraphSAGE-and-GAT-for-link-prediction GraphSAGE and GAT for link prediction.	37	Emerging	94	Jupyter Notebook
86	CRIPAC-DIG/SR-GNN [AAAI 2019] Source code and datasets for "Session-based Recommendation with...	36	Emerging	852	Python
87	BUAA-CI-LAB/Literatures-on-GNN-Acceleration A reading list for deep graph learning acceleration.	36	Emerging	255	—
88	Taehooie/CGChoiceModel Computational graph-based discrete choice models	36	Emerging	13	Python
89	Graph-Learning-Benchmarks/gli 🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform...	36	Emerging	43	Python
90	Graph-COM/GSAT [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and...	36	Emerging	174	Jupyter Notebook
91	leowyy/GraphTSNE PyTorch Implementation of GraphTSNE, ICLR’19	36	Emerging	137	Jupyter Notebook
92	bessagroup/graphorge Graphorge: Open-source forge of Graph Neural Networks	36	Emerging	8	Jupyter Notebook
93	boschresearch/ExeKGLib Python library for Executable Machine Learning Knowledge Graphs	36	Emerging	21	Python
94	dmlc/GNNLens2 Visualization tool for Graph Neural Networks	35	Emerging	259	TypeScript
95	Hyper3Labs/hyper-models Model zoo for non-Euclidean embedding models (hyperbolic, hyperspherical) -...	35	Emerging	3	Python
96	SherylHYX/pytorch_geometric_signed_directed PyTorch Geometric Signed Directed is a signed/directed graph neural network...	35	Emerging	146	Python
97	stadlmax/Graph-Posterior-Network Graph Posterior Network: Bayesian Predictive Uncertainty for Node...	35	Emerging	45	Python
98	soda-inria/sepal Repository for SEPAL: Scalable Feature Learning on Huge Knowledge Graphs for...	34	Emerging	24	Python
99	hypernetwork-research-group/motif_representation_learning This repository contains datasets and codes for the paper Hypergraph Motifs...	34	Emerging	3	Python
100	TrustAGI-Lab/Awesome-Graph-Neural-Networks Paper Lists for Graph Neural Networks	34	Emerging	2,296	—
101	neunms/Reinforcement-learning-on-graphs-A-survey This collection of papers can be used to summarize research about graph...	34	Emerging	196	—
102	Emory-Melody/awesome-graph-reduction [IJCAI 2024] Papers about graph reduction including graph coarsening, graph...	34	Emerging	177	—
103	XuexiongLuoMQ/Awesome-Brain-Graph-Learning-with-GNNs Awesome graph neural networks for brain network learning. Collections of...	34	Emerging	91	—
104	mfinzi/equivariant-MLP A library for programmatically generating equivariant layers through...	34	Emerging	281	Jupyter Notebook
105	LTesan/HybridGraphNets This GitHub repository hosts a integration of biomecanical thermodynamics...	34	Emerging	8	Python
106	DiTEC-project/gnn-pressure-estimation DiTEC research	34	Emerging	23	Python
107	benedekrozemberczki/spatiotemporal_datasets Spatiotemporal datasets collected for network science, deep learning and...	34	Emerging	63	—
108	Zehong-Wang/GFT GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.	34	Emerging	59	Python
109	huangtinglin/NGCF-PyTorch PyTorch Implementation for Neural Graph Collaborative Filtering	34	Emerging	307	Python
110	makgyver/gossipy Python module for simulating gossip learning.	34	Emerging	40	Python
111	mlabonne/graph-neural-network-course Free hands-on course about Graph Neural Networks using PyTorch Geometric.	34	Emerging	436	Jupyter Notebook
112	salvaRC/Graphino Code associated with the paper "The World as a Graph: Improving El Niño...	34	Emerging	33	Jupyter Notebook
113	ytchx1999/MAXP_DGL_Graph MAXP 命题赛...	33	Emerging	31	Python
114	Zehong-Wang/Awesome-Foundation-Models-on-Graphs A collection of graph foundation models including papers, codes, and datasets.	33	Emerging	178	—
115	SherylHYX/GNNRank Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings...	33	Emerging	54	Jupyter Notebook
116	energnn/energnn A Graph Neural Network library for real-life energy networks.	33	Emerging	16	Python
117	THUDM/GraphMAE2 GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23	33	Emerging	185	Python
118	Jhy1993/Representation-Learning-on-Heterogeneous-Graph Representation-Learning-on-Heterogeneous-Graph	33	Emerging	443	—
119	velicast/dress-graph DRESS: A Continuous Framework for Structural Graph Refinement	33	Emerging	2	Jupyter Notebook
120	jongyaoY/fignet Face Interaction Graph Networks: A GNN-based rigid body physics simulator	32	Emerging	19	Python
121	NLP-Tutorials/AACL-IJCNLP2022-KGC-Tutorial Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge...	32	Emerging	28	—
122	cptq/SignNet-BasisNet SignNet and BasisNet	32	Emerging	102	Python
123	Extreme-classification/GalaXC GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification	32	Emerging	33	Python
124	LirongWu/awesome-graph-self-supervised-learning Code for TKDE paper "Self-supervised learning on graphs: Contrastive,...	32	Emerging	1,437	—
125	chrsmrrs/k-gnn Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order...	32	Emerging	190	C++
126	QwQ2000/TheWebConf24-LTGNN-PyTorch TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable...	32	Emerging	22	Python
127	Graphlet-AI/graphml-class Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques	32	Emerging	80	Jupyter Notebook
128	ZJU-DAILY/MetaKG Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start...	32	Emerging	58	Python
129	marissaweis/ssl_neuron Code to the paper "Self-Supervised Graph Representation Learning for...	32	Emerging	16	Jupyter Notebook
130	jasonshere/FairGAN FairGAN: GANs-based Fairness-aware Learning for Recommendations with...	32	Emerging	15	Python
131	guoji-fu/pGNNs [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks	32	Emerging	27	Python
132	SpaceLearner/Awesome-DynamicGraphLearning Awesome papers about machine learning (deep learning) on dynamic (temporal)...	32	Emerging	705	Shell
133	Extreme-classification/ECLARE ECLARE: Extreme Classification with Label Graph Correlations	31	Emerging	41	Python
134	ChandlerBang/awesome-self-supervised-gnn Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).	31	Emerging	1,714	Python
135	shamim-hussain/egt_pytorch Edge-Augmented Graph Transformer	31	Emerging	81	Python
136	THUDM/GraphMAE GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22	31	Emerging	579	Python
137	senya-ashukha/simple-equivariant-gnn A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks	31	Emerging	140	Python
138	martinwhl/T-GCN-PyTorch A PyTorch implementation of T-GCN	31	Emerging	64	Python
139	Danfoa/symmetric_learning Torch-based library for ML problems with symmetry priors. It provides...	31	Emerging	10	Python
140	swapp-lab/HydroGAT Heterogenous Graph Attention Transformer for high-resolution, distributed...	31	Emerging	5	Python
141	harishsiravuri/kgforge Library to automate generation of knowledge graphs from scholarly text	31	Emerging	12	Python
142	Zehong-Wang/GPM Beyond Message Passing: Neural Graph Pattern Machine, ICML 2025	30	Emerging	12	Python
143	sigeisler/s2gnn Spatio-Spectral Graph Neural Networks (S²GNN)	30	Emerging	19	Python
144	datawhalechina/grape-book 图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book	30	Emerging	277	HTML
145	yellowshippo/isogcn-iclr2021 IsoGCN code for ICLR2021	30	Emerging	50	Python
146	PabloVD/HaloGraphNet Predict halo masses from simulations via graph neural networks	30	Emerging	29	Python
147	emalgorithm/directed-graph-neural-network Dir-GNN is a machine learning model that enables learning on directed graphs.	30	Emerging	84	Python
148	TuGraph-family/TuGraph-AntGraphLearning Ant Graph Learning (AGL) provides a comprehensive solution for graph...	30	Emerging	92	Java
149	PabloVD/CosmoGraphNet Graph Neural Networks to predict the cosmological parameters or the galaxy...	30	Emerging	19	Python
150	joisino/laf Code for "Training-free Graph Neural Networks and the Power of Labels as...	29	Experimental	58	Python
151	gkm0120/Graph-Neural-Network-Papers 图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。	29	Experimental	110	Jupyter Notebook
152	gasteigerjo/gtn Graph transport network (GTN), as proposed in "Scalable Optimal Transport in...	29	Experimental	15	Jupyter Notebook
153	BioinfoMachineLearning/GCPNet A geometry-complete SE(3)-equivariant perceptron network (GCPNet) for 3D...	29	Experimental	52	Python
154	claws-lab/INPAC Code and data for the KDD 2023 paper "Predicting Information Pathways Across...	29	Experimental	27	Python
155	BatsResearch/zsl-kg Framework for zero-shot learning with knowledge graphs.	29	Experimental	113	Python
156	azminewasi/Awesome-Graph-Research-ICLR2024 It is a comprehensive resource hub compiling all graph papers accepted at...	29	Experimental	101	—
157	THUMNLab/awesome-auto-graph-learning A paper collection about automated graph learning	29	Experimental	99	—
158	sidneyarcidiacono/UnderstandingGCNs The code, citation & note companion to the AICamp Webinar "Understanding...	29	Experimental	11	Jupyter Notebook
159	zlpure/awesome-graph-representation-learning A curated list for awesome graph representation learning resources.	29	Experimental	154	—
160	K-Wu/pytorch-direct Code for Large Graph Convolutional Network Training with GPU-Oriented Data...	29	Experimental	9	C++
161	SiamakGhodsi/DFNMF Fair graph learning: A fair and interpretable clustering algorithm based on...	29	Experimental	1	Jupyter Notebook
162	SXKDZ/awesome-self-supervised-learning-for-graphs A curated list for awesome self-supervised learning for graphs.	28	Experimental	390	—
163	YukeWang96/GNNAdvisor_OSDI21 Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System...	28	Experimental	69	Cuda
164	yellowshippo/penn-neurips2022 PENN code for NeurIPS 2022	28	Experimental	42	Python
165	ZhenyuYangMQ/Awesome-Graph-Level-Learning Awesome graph-level learning methods. Collections of commonly used datasets,...	28	Experimental	59	—
166	pykeen/kgem-software-review 📖 A review of KGEM packages and frameworks at...	28	Experimental	12	Python
167	Harshs27/tGLAD O(N) framework for Multivariate time series segmentation using sparse graph...	28	Experimental	5	Jupyter Notebook
168	mukhlishga/gnn-powerflow Graph Neural Network application in predicting AC Power Flow calculation....	28	Experimental	110	Jupyter Notebook
169	SherylHYX/MSGNN Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural...	28	Experimental	13	Python
170	6lyc/CDNMF [ICASSP 2024] Official implementation of our paper "Contrastive Deep...	28	Experimental	42	Python
171	LISA-ITMO/CGT4NN Compositional Game Theory for Neural Networks	28	Experimental	4	Jupyter Notebook
172	saurabhdeshpande93/MAgNET A novel graph U-net architecture	28	Experimental	24	Mathematica
173	pnnl/modelsym Code to run the experiments of the Neurips 2022 paper On the Symmetries of...	27	Experimental	7	Jupyter Notebook
174	llm-db/MLKV MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based...	27	Experimental	8	—
175	YukeWang96/TC-GNN_ATC23 Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and...	27	Experimental	55	Python
176	safreita1/malnet-graph A large-scale database for graph representation learning	27	Experimental	55	Python
177	gasteigerjo/lcn Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport...	27	Experimental	19	Python
178	C1nDeRainBo0M/AGCA The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel...	27	Experimental	32	Python
179	sh-lee97/grafx GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch	27	Experimental	135	Python
180	danielpatrickhug/GitModel Codebase topic modeling using GNNs(Node aggregation and clustering)	26	Experimental	62	Python
181	lanl/DnMFk A C++ framework of Distributed Non-Negative Matrix Factorization...	26	Experimental	3	C++
182	eamag/igdl Inversed Geometric Deep Learning course helper library	26	Experimental	3	Python
183	microsoft/figure [NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled:...	26	Experimental	11	Python
184	trainsn/GNN-Surrogate GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for...	26	Experimental	26	C++
185	flyingdoog/PGExplainer Parameterized Explainer for Graph Neural Network	26	Experimental	144	Jupyter Notebook
186	Lemon-cmd/energy-transformer-graph This repository contains the official code for Energy Transformer---an...	26	Experimental	25	Python
187	bdqnghi/ggnn.tensorflow Tensorflow implementation of Gated Graph Neural Network for Source Code...	26	Experimental	43	Java
188	SunQingYun1996/Graph-Reinforcement-Learning-Papers A curated list of graph reinforcement learning papers.	26	Experimental	76	—
189	FeiGSSS/NEDMP Official PyTorch implementation of Neural Enhanced Dynamic Message Passing...	26	Experimental	8	Jupyter Notebook
190	arnab39/equiadapt Library to make any existing neural network architecture equivariant	26	Experimental	58	Jupyter Notebook
191	marcelomendoza/IIC3641 GML UC	26	Experimental	20	Jupyter Notebook
192	vevenom/pytorchgeonodes PyTorchGeoNodes is a PyTorch module for differentiable shape programs /...	26	Experimental	44	Python
193	Wang-Yu-Qing/EGES DGL implementation of EGES	25	Experimental	31	Python
194	odinhg/Graph-Neural-Networks-INF367A Traffic prediction with graph neural network using PyTorch Geometric. The...	25	Experimental	31	Python
195	sophiaas/gtc-invariance Official PyTorch Implementation of "A General Framework for Robust...	25	Experimental	5	Python
196	graphcore-research/bess-kge A PyTorch library for Knowledge Graph Embedding on Graphcore IPUs...	25	Experimental	3	Jupyter Notebook
197	ZZYSonny/PlanE Implementation of the BasePlanE models and the experiments from the NeurIPS...	25	Experimental	13	Python
198	zahta/Graph-Machine-Learning Course: Graph Machine Learning focuses on the application of machine...	25	Experimental	27	Jupyter Notebook
199	network-science-lab/infmax-trainer-icm-mln A PyTorch GNN model for top spreader identification in multilayer networks...	25	Experimental	3	Python
200	LiuChuang0059/graph-pooling-papers IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)	25	Experimental	117	—
201	lin-tan/eagle For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep...	25	Experimental	13	Jupyter Notebook
202	haguettaz/ChebLieNet ChebLieNet, a spectral graph neural network turned equivariant by Riemannian...	24	Experimental	14	Python
203	AutoGraphQL/GraphAuto An advanced API management tool for GraphQL APIs with machine learning.	24	Experimental	4	JavaScript
204	vbercy/g2tm-segmenter Graph-Guided Token Merging (G2TM) is a lightweight one-shot module designed...	24	Experimental	2	Python
205	lmotte/graph-prediction-with-fused-gromov-wasserstein Python implementation of the supervised graph prediction method proposed in...	24	Experimental	16	Python
206	snap-research/MLPInit-for-GNNs [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with...	24	Experimental	76	Jupyter Notebook
207	joisino/gnnbook 書籍『グラフニューラルネットワーク』のサポートサイトです。	23	Experimental	67	Jupyter Notebook
208	reddy-lab/GraphZoo Facilitating learning, using, and designing graph processing...	23	Experimental	27	Jupyter Notebook
209	eraseai/erase [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation...	23	Experimental	19	Python
210	danielegrattarola/SRC Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).	23	Experimental	60	Python
211	azwad-tamir/gpt_gnn_3D_partitioner A GPT-GNN based verilog netlist partitioner for 3D IC design	23	Experimental	10	Verilog
212	crabsatellite/canonicalization-leakage CL-DIAG: Diagnosing canonicalization leakage in supervised learning under...	22	Experimental	—	Python
213	ic-lab-duth/FusedGCN4HLS Systolic Three Matrix Multiplier for Graph Convolutional Networks using High...	22	Experimental	23	C++
214	downeykking/graph-papers Graph Neural Network, Self-Supervised Learning, Contrastive Learning,...	22	Experimental	37	—
215	Blackhole32144/dress-graph Analyze and visualize graph structures efficiently across Python, Rust,...	22	Experimental	—	Jupyter Notebook
216	MilesCranmer/gnn_resource_allocation Code for our paper on doing resource allocation with graph neural networks	22	Experimental	32	Python
217	uoo723/PMGT Implementation of "Pre-training Graph Transformer with Multimodal Side...	22	Experimental	17	Python
218	zademn/netsci-labs (In progress) Network science laboratories. Covers graph theory, random...	22	Experimental	17	Jupyter Notebook
219	GregorLueg/genewalkR node2vec-based CompBio methods in R	22	Experimental	—	R
220	lucasSaavedra123/dynamic_clustering A concatenation of two GNNs to decode dynamic clustering on localization datasets	22	Experimental	1	Python
221	juyongjiang/awesome-graph-self-supervised-learning-based-recommendation A curated list of awesome graph & self-supervised-learning-based recommendation.	21	Experimental	47	—
222	vibalcam/gnn-systemic-risk Official implementation of "Predicting Systemic Risk in Financial Systems...	21	Experimental	13	Jupyter Notebook
223	DMontgomery40/ttt_ssm_eval ttt_ssm_eval - Toy demo for Test-Time Training (TTT) in State Space Models...	21	Experimental	2	TypeScript
224	XiaShan1227/SimGNN SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]	21	Experimental	10	Python
225	nnaakkaaii/g2-MLP g2-MLP: State-of-the-Art Model for Node Classification on Graphs (PPI Dataset)	21	Experimental	10	Shell
226	airscholar/AlphaTeam Complex Network Analysis Using Machine Learning	21	Experimental	7	HTML
227	luffycodes/neptune Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion	20	Experimental	16	Python
228	facebookresearch/taser-tgnn [IPDPS 2024] Adaptive neighbor sampling for temporal GNN	20	Experimental	16	Python
229	zhu-xlab/WSGraphCL This repository contains the implementation of WSGraphCL, a weak-strong...	19	Experimental	4	Python
230	alan-turing-institute/grace Graph Representation Analysis for Connected Embeddings	19	Experimental	34	Jupyter Notebook
231	CanBayraktaroglu/OPFGNN Master Thesis: Optimal Power Flow in Power Systems using Graph Neural Networks	19	Experimental	22	Jupyter Notebook
232	K-Wu/pytorch-direct_dgl Large Graph Convolutional Network Training with GPU-Oriented Data...	19	Experimental	44	—
233	sablokrep/dgnseq graph attention network for seq models	19	Experimental	—	Rust
234	XiaShan1227/Self-Attention-Graph-Pooling Self-Attention Graph Pooling [ICML-2019]	19	Experimental	9	Python
235	growingparticle/Top_Tagger_Architecture_Constraints A comparative study reproducing the Machine Learning Landscape of Top...	19	Experimental	—	Jupyter Notebook
236	gongchenghua/Papers-Graphs-with-Heterophily A Survey of Learning from Graphs with Heterophily	18	Experimental	160	—
237	zixi-liu/Graphical-Neural-Network CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.	18	Experimental	8	Jupyter Notebook
238	blacker521/awesome-graph-structure-learning A collection of research papers related to graph structure learning(GSL).	16	Experimental	16	—
239	sung-won-kim/TEG The official source code for "Task-Equivariant Graph Few-shot Learning...	16	Experimental	25	Python
240	xjwxjw/Pytorch-Learned-Cloth-Simulation Reimplementation of Learning Mesh-based Simulation With Graph Networks	16	Experimental	44	Python
241	uw-loci/gnn-pccp Graph neural networks for PDAC vs CP in histology	15	Experimental	6	Jupyter Notebook
242	Naveen-1-1/social-network-analysis Social Network Analysis - University of Michigan	15	Experimental	—	Jupyter Notebook
243	MaLoskins/araneos Full-stack graph intelligence platform for converting tabular data into...	15	Experimental	1	HTML
244	giuliacassara/awesome-hypergraph-learning A curated list of awesome Hypergraph Learning frameworks, libraries and software.	15	Experimental	23	—
245	Jayadratha/DevoTG_GSoC DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development - GSOC@INCF	15	Experimental	—	HTML
246	gaurav1154/graph-neural-network-course 🌐 Explore Graph Neural Networks through this comprehensive course, covering...	15	Experimental	1	Jupyter Notebook
247	Wingless-kb922/org-grapher 🌐 Visualize your Org-mode data with org-grapher for easy connections and...	14	Experimental	—	C#
248	davide-gurrieri/parallel-GCN High-performance CUDA C++ implementation of Graph Convolutional Networks	14	Experimental	7	C++
249	yuehaowang/SoGCN SoGCN: Second-Order Graph Convolutional Networks	14	Experimental	7	Jupyter Notebook
250	Oisin-M/GFN-ROM Graph Feedforward Networks: a resolution-invariant generalisation of...	14	Experimental	3	Jupyter Notebook
251	zenwor/reddit_gcnn 🕸️ GNN-based Reddit Discussion Classifier	14	Experimental	11	Python
252	kshitijbhandari/Unsupervised-Clustering-of-Actor-Movie-Bipartite-Graphs-Using-Random-Walk-Embeddings Grouped 3,411 actors into 3 communities and 1,292 movies into 50 clusters...	14	Experimental	—	Jupyter Notebook
253	creator78146/Coarsening-FMRI-Graph-To-Predict-Phenotype-Features Graph-based analysis of fMRI data using coarsening techniques to predict...	14	Experimental	—	Jupyter Notebook
254	Lordefex/gnn-node-link-pytorch 🔍 Explore Graph Neural Networks for node classification and link prediction...	14	Experimental	—	—
255	manuel-dileo/dynamic-gnn Pytorch implementation of a dynamic gnn based on Roland framework	14	Experimental	18	Jupyter Notebook
256	ashudeep/ranking-fairness-uncertainty Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty	14	Experimental	10	Jupyter Notebook
257	Miao-WANG-Trista/Influence-Maximization-on-Graph-Data Influential nodes identification & CELF implementation	14	Experimental	9	Jupyter Notebook
258	dennishnf/project-arxiv-citation-network This project involved the analysis of the ArXiv citation network.	14	Experimental	14	Jupyter Notebook
259	RozaAbolghasemi/Group_Recommendation_Syatem_GcPp_clustering A Jupyter notebook for a project centered around 'Group Recommendation...	14	Experimental	9	Jupyter Notebook
260	BorgwardtLab/ggme Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph...	14	Experimental	14	Python
261	tonysy/awesome-graph-networks Materials for Graph Models and Graph Networks	13	Experimental	11	—
262	jonathan-gerb/crosswalk-reproduction A pytorch re-implementation of CrossWalk: Fairness-Enhanced Node...	13	Experimental	6	Jupyter Notebook
263	smruthig/Schizophrenia_Analysis_using_GNN_and_ML Graph Neural Network and Machine Learning Analysis of Functional...	13	Experimental	7	Jupyter Notebook
264	RozaAbolghasemi/GRS_crGAN Adversarial Preference Learning with Pairwise Comparisons for Group...	13	Experimental	7	Jupyter Notebook
265	NicolasMeseguer/pcgcn Partition Centric Graph Convolutional Networks in PyTorch	13	Experimental	6	C
266	LUMIA-Group/SubTree-Attention Official implementation for "Tailoring Self-Attention for Graph via Rooted...	13	Experimental	11	Python
267	SherylHYX/DIGRAC_Directed_Clustering Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on ...	13	Experimental	8	C++
268	danieloaAAU/Graph-Neural-Network-in-wireless-communication-Papers This repository contains list of publications on the application of Graph...	12	Experimental	19	—
269	Robotmurlock/Deepwalk-and-Node2vec Implementation of Word2Vec, DeepWalk and Node2vec papers.	12	Experimental	3	Jupyter Notebook
270	sisinflab/LoG-2023-GNNs-RecSys Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)	12	Experimental	17	Jupyter Notebook
271	khanmhmdi/GAT-Graph-attention-neural-network- This repository contain the unofficial implementation of the graph attention...	12	Experimental	4	—
272	alirezaassadzadeh/MNGCN MULTISTAGE NON-DETERMINISTIC CLASSIFICATION USING SECONDARY CONCEPT GRAPHS...	11	Experimental	—	Python
273	NetworkScienceLab/CoreGDM Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling...	11	Experimental	2	—
274	pierrehouedry/DifferentiableHyperbolicity Official implementation of the paper “Bridging Arbitrary and Tree Metrics...	10	Experimental	4	Jupyter Notebook

Comparisons in this category

pytorch_geometric and stellargraph (93 vs 65) pytorch_geometric and gnn (93 vs 57) pytorch_geometric and graphein (93 vs 74) pytorch_geometric and deepsnap (93 vs 57) pytorch_geometric and GiGL (93 vs 57) graphein and dgl (74 vs 66)