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 285 graph neural networks frameworks tracked. 2 score above 70 (verified tier). The highest-rated is pyg-team/pytorch_geometric at 80/100 with 23,561 stars. 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	80	Verified	23,561	Python
2	a-r-j/graphein Protein Graph Library	70	Verified	1,165	Jupyter Notebook
3	raamana/graynet Subject-wise networks from structural MRI, both vertex- and voxel-wise...	68	Established	39	Jupyter Notebook
4	pykale/pykale Knowledge-Aware machine LEarning (KALE): accessible machine learning from...	66	Established	479	Python
5	dmlc/dgl Python package built to ease deep learning on graph, on top of existing DL...	66	Established	14,245	Python
6	graspologic-org/graspologic Python package for graph statistics	65	Established	974	Python
7	snap-stanford/ogb Benchmark datasets, data loaders, and evaluators for graph machine learning	65	Established	2,076	Python
8	ORNL/HydraGNN Distributed PyTorch implementation of multi-headed graph convolutional...	65	Established	103	Python
9	raamana/hiwenet Histogram-weighted Networks for Connectivity & Advanced Analysis in Neuroscience	63	Established	8	Python
10	pykeen/pykeen 🤖 A Python library for learning and evaluating knowledge graph embeddings	62	Established	1,958	Python
11	BUPT-GAMMA/GammaGL A multi-backend graph learning library.	61	Established	244	Python
12	Snapchat/GiGL Gigantic Graph Learning (GiGL) Framework: Large-scale training and inference...	61	Established	65	Python
13	tensorflow/gnn TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow...	61	Established	1,516	Python
14	tigergraph/pyTigerGraph Python package for utilizing TigerGraph Databases	61	Established	35	Python
15	naganandy/graph-based-deep-learning-literature links to conference publications in graph-based deep learning	59	Established	5,036	Jupyter Notebook
16	graphnet-team/graphnet A Deep learning library for neutrino telescopes	59	Established	111	Python
17	pyg-team/pyg-lib Low-Level Graph Neural Network Operators for PyG	58	Established	224	C++
18	stellargraph/stellargraph StellarGraph - Machine Learning on Graphs	58	Established	3,047	Python
19	danielegrattarola/spektral Graph Neural Networks with Keras and Tensorflow 2.	58	Established	2,395	Python
20	neo4j/graph-data-science-client A Python client for the Neo4j Graph Data Science (GDS) library	58	Established	236	Python
21	snap-stanford/deepsnap Python library assists deep learning on graphs	58	Established	568	Python
22	Lin-Yijie/Graph-Matching-Networks PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with...	57	Established	320	Python
23	benedekrozemberczki/littleballoffur Little Ball of Fur - A graph sampling extension library for NetworKit and...	57	Established	713	Python
24	zjukg/NeuralKG [Tool] For Knowledge Graph Representation Learning	57	Established	393	Python
25	benedekrozemberczki/karateclub Karate Club: An API Oriented Open-source Python Framework for Unsupervised...	56	Established	2,276	Python
26	PyGCL/PyGCL PyGCL: A PyTorch Library for Graph Contrastive Learning	55	Established	958	Python
27	geoelements/gns Graph Network Simulator	54	Established	214	Python
28	benedekrozemberczki/awesome-community-detection A curated list of community detection research papers with implementations.	54	Established	2,432	Python
29	QUVA-Lab/escnn Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/	53	Established	508	Python
30	awslabs/graphstorm Enterprise graph machine learning framework for billion-scale graphs for ML...	53	Established	450	Python
31	SINr-Embeddings/sinr The SINr approach to train interpretable word and graph embeddings	53	Established	20	Jupyter Notebook
32	ai4iacts/hexagdly Process hexagonally sampled data with PyTorch	52	Established	98	Jupyter Notebook
33	GT4SD/gt4sd-core GT4SD, an open-source library to accelerate hypothesis generation in the...	51	Established	370	Jupyter Notebook
34	andreagemelli/doc2graph Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.	51	Established	137	Jupyter Notebook
35	alibaba/euler A distributed graph deep learning framework.	51	Established	2,900	C++
36	OriginTrail/dkg.py :snake: Python :snake: SDK for OriginTrail Decentralized Knowledge Graph interactions	51	Established	24	Python
37	mdeff/cnn_graph Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	51	Established	1,369	Jupyter Notebook
38	danielegrattarola/keras-gat Keras implementation of the graph attention networks (GAT) by Veličković et...	51	Established	494	Python
39	benedekrozemberczki/pytorch_geometric_temporal PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural...	50	Established	2,962	Python
40	graphdeeplearning/benchmarking-gnns Repository for benchmarking graph neural networks (JMLR 2023)	50	Established	2,650	Jupyter Notebook
41	DeepGraphLearning/LiteratureDL4Graph A comprehensive collection of recent papers on graph deep learning	50	Established	3,078	—
42	awslabs/dgl-ke High performance, easy-to-use, and scalable package for learning large-scale...	50	Established	1,328	Python
43	Tiiiger/SGC official implementation for the paper "Simplifying Graph Convolutional Networks"	50	Established	848	Python
44	iMoonLab/HGNN Hypergraph Neural Networks (AAAI 2019)	50	Established	829	Python
45	FanzhenLiu/Awesome-Deep-Community-Detection Deep and conventional community detection related papers, implementations,...	50	Established	557	—
46	tgm-team/tgm Efficient and Modular ML on Temporal Graphs	50	Established	96	Python
47	alibaba/graphlearn-for-pytorch A GPU-accelerated graph learning library for PyTorch, facilitating the...	50	Established	146	Python
48	iMoonLab/DeepHypergraph A pytorch library for graph and hypergraph computation.	50	Established	836	Python
49	weihua916/powerful-gnns How Powerful are Graph Neural Networks?	50	Established	1,275	Python
50	benedekrozemberczki/GraphWaveletNeuralNetwork A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)	50	Established	605	Python
51	benedekrozemberczki/SimGNN A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast...	50	Established	810	Python
52	benedekrozemberczki/ClusterGCN A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for...	49	Emerging	806	Python
53	AnacletoLAB/grape 🍇 GRAPE is a Rust/Python Graph Representation Learning library for...	49	Emerging	622	Jupyter Notebook
54	danielzuegner/netgan Implementation of the paper "NetGAN: Generating Graphs via Random Walks".	49	Emerging	198	Jupyter Notebook
55	malllabiisc/CompGCN ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks	49	Emerging	634	Python
56	gordicaleksa/pytorch-GAT My implementation of the original GAT paper (Veličković et al.). I've...	48	Emerging	2,655	Jupyter Notebook
57	divelab/DIG A library for graph deep learning research	48	Emerging	2,002	Python
58	AnoushkaVyas/GraphZoo Facilitating learning, using, and designing graph processing...	48	Emerging	27	Jupyter Notebook
59	google-deepmind/graph_nets Build Graph Nets in Tensorflow	48	Emerging	5,396	Python
60	ChrisCummins/ProGraML A Graph-based Program Representation for Data Flow Analysis and Compiler...	48	Emerging	321	C++
61	DrHB/icecube-2nd-place IceCube Neutrino Detection \| Transformer + GNN \|EPJC 2025	47	Emerging	23	Python
62	gasteigerjo/ppnp PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet...	47	Emerging	323	Jupyter Notebook
63	yinboc/DGP Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019	47	Emerging	321	Python
64	graph-part/graph-part GraphPart, a data partitioning method for ML on biological sequences	47	Emerging	33	Jupyter Notebook
65	lightaime/deep_gcns_torch Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN...	47	Emerging	1,187	Python
66	graph4ai/graph4nlp Graph4nlp is the library for the easy use of Graph Neural Networks for NLP....	47	Emerging	1,686	Python
67	fpichi/gca-rom GCA-ROM is a library which implements graph convolutional autoencoder...	46	Emerging	37	Jupyter Notebook
68	benedekrozemberczki/PDN The official PyTorch implementation of "Pathfinder Discovery Networks for...	46	Emerging	59	Python
69	aimat-lab/gcnn_keras Graph convolutions in Keras with TensorFlow, PyTorch or Jax.	46	Emerging	118	Jupyter Notebook
70	CRIPAC-DIG/GRACE [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive...	46	Emerging	346	Python
71	twitter-research/graph-neural-pde Graph Neural PDEs	46	Emerging	339	Jupyter Notebook
72	dair-ai/GNNs-Recipe 🟠 A study guide to learn about Graph Neural Networks (GNNs)	46	Emerging	1,280	—
73	BorgwardtLab/TOGL Topological Graph Neural Networks (ICLR 2022)	46	Emerging	126	Python
74	benedekrozemberczki/APPNP A PyTorch implementation of "Predict then Propagate: Graph Neural Networks...	45	Emerging	374	Python
75	pathpy/pathpyG GPU-accelerated Next-Generation Network Analytics and Graph Learning for...	45	Emerging	55	Python
76	doujiang-zheng/Awesome-Graph-Learning-Papers-List Advances on machine learning of graphs, covering the reading list of recent...	45	Emerging	232	Jupyter Notebook
77	benedekrozemberczki/AttentionWalk A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via...	45	Emerging	326	Python
78	benedekrozemberczki/MixHop-and-N-GCN An implementation of "MixHop: Higher-Order Graph Convolutional Architectures...	45	Emerging	407	Python
79	raunakkmr/GraphSAGE-and-GAT-for-link-prediction GraphSAGE and GAT for link prediction.	44	Emerging	94	Jupyter Notebook
80	deepkashiwa20/MepoGNN [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks	44	Emerging	31	Python
81	snap-research/graphless-neural-networks [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New...	44	Emerging	95	Python
82	PKU-DAIR/SGL A scalable graph learning toolkit for extremely large graph datasets....	44	Emerging	157	Python
83	atomicarchitects/equiformer_v2 [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to...	44	Emerging	328	Python
84	pykeen/ilpc2022 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022	44	Emerging	85	Python
85	leowyy/GraphTSNE PyTorch Implementation of GraphTSNE, ICLR’19	43	Emerging	137	Jupyter Notebook
86	boschresearch/ExeKGLib Python library for Executable Machine Learning Knowledge Graphs	43	Emerging	21	Python
87	bessagroup/graphorge Graphorge: Open-source forge of Graph Neural Networks	43	Emerging	8	Jupyter Notebook
88	BUAA-CI-LAB/Literatures-on-GNN-Acceleration A reading list for deep graph learning acceleration.	43	Emerging	255	—
89	Graph-COM/GSAT [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and...	43	Emerging	174	Jupyter Notebook
90	Taehooie/CGChoiceModel Computational graph-based discrete choice models	43	Emerging	13	Python
91	CRIPAC-DIG/SR-GNN [AAAI 2019] Source code and datasets for "Session-based Recommendation with...	43	Emerging	852	Python
92	Graph-Learning-Benchmarks/gli 🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform...	43	Emerging	43	Python
93	dmlc/GNNLens2 Visualization tool for Graph Neural Networks	42	Emerging	259	TypeScript
94	Visual-Intelligence-UMN/GNN-101 Visual Learning of Graph Neural Networks in Your Web Browser	42	Emerging	36	TypeScript
95	SherylHYX/pytorch_geometric_signed_directed PyTorch Geometric Signed Directed is a signed/directed graph neural network...	42	Emerging	146	Python
96	stadlmax/Graph-Posterior-Network Graph Posterior Network: Bayesian Predictive Uncertainty for Node...	42	Emerging	45	Python
97	XuexiongLuoMQ/Awesome-Brain-Graph-Learning-with-GNNs Awesome graph neural networks for brain network learning. Collections of...	41	Emerging	91	—
98	TrustAGI-Lab/Awesome-Graph-Neural-Networks Paper Lists for Graph Neural Networks	41	Emerging	2,296	—
99	mlabonne/graph-neural-network-course Free hands-on course about Graph Neural Networks using PyTorch Geometric.	41	Emerging	436	Jupyter Notebook
100	hypernetwork-research-group/motif_representation_learning This repository contains datasets and codes for the paper Hypergraph Motifs...	41	Emerging	3	Python
101	neunms/Reinforcement-learning-on-graphs-A-survey This collection of papers can be used to summarize research about graph...	41	Emerging	196	—
102	mfinzi/equivariant-MLP A library for programmatically generating equivariant layers through...	41	Emerging	281	Jupyter Notebook
103	huangtinglin/NGCF-PyTorch PyTorch Implementation for Neural Graph Collaborative Filtering	41	Emerging	307	Python
104	benedekrozemberczki/spatiotemporal_datasets Spatiotemporal datasets collected for network science, deep learning and...	41	Emerging	63	—
105	Zehong-Wang/GFT GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.	41	Emerging	59	Python
106	Emory-Melody/awesome-graph-reduction [IJCAI 2024] Papers about graph reduction including graph coarsening, graph...	41	Emerging	177	—
107	makgyver/gossipy Python module for simulating gossip learning.	41	Emerging	40	Python
108	salvaRC/Graphino Code associated with the paper "The World as a Graph: Improving El Niño...	41	Emerging	33	Jupyter Notebook
109	Zehong-Wang/Awesome-Foundation-Models-on-Graphs A collection of graph foundation models including papers, codes, and datasets.	40	Emerging	178	—
110	SherylHYX/GNNRank Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings...	40	Emerging	54	Jupyter Notebook
111	THUDM/GraphMAE2 GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23	40	Emerging	185	Python
112	Jhy1993/Representation-Learning-on-Heterogeneous-Graph Representation-Learning-on-Heterogeneous-Graph	40	Emerging	443	—
113	ytchx1999/MAXP_DGL_Graph MAXP 命题赛...	40	Emerging	31	Python
114	LirongWu/awesome-graph-self-supervised-learning Code for TKDE paper "Self-supervised learning on graphs: Contrastive,...	39	Emerging	1,437	—
115	SpaceLearner/Awesome-DynamicGraphLearning Awesome papers about machine learning (deep learning) on dynamic (temporal)...	39	Emerging	705	Shell
116	chrsmrrs/k-gnn Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order...	39	Emerging	190	C++
117	jasonshere/FairGAN FairGAN: GANs-based Fairness-aware Learning for Recommendations with...	39	Emerging	15	Python
118	Extreme-classification/GalaXC GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification	39	Emerging	33	Python
119	QwQ2000/TheWebConf24-LTGNN-PyTorch TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable...	39	Emerging	22	Python
120	DiTEC-project/gnn-pressure-estimation DiTEC research	39	Emerging	23	Python
121	marissaweis/ssl_neuron Code to the paper "Self-Supervised Graph Representation Learning for...	39	Emerging	16	Jupyter Notebook
122	jongyaoY/fignet Face Interaction Graph Networks: A GNN-based rigid body physics simulator	39	Emerging	19	Python
123	guoji-fu/pGNNs [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks	39	Emerging	27	Python
124	NLP-Tutorials/AACL-IJCNLP2022-KGC-Tutorial Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge...	39	Emerging	28	—
125	ZJU-DAILY/MetaKG Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start...	39	Emerging	58	Python
126	Graphlet-AI/graphml-class Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques	39	Emerging	80	Jupyter Notebook
127	cptq/SignNet-BasisNet SignNet and BasisNet	39	Emerging	102	Python
128	LTesan/HybridGraphNets This GitHub repository hosts a integration of biomecanical thermodynamics...	38	Emerging	8	Python
129	martinwhl/T-GCN-PyTorch A PyTorch implementation of T-GCN	38	Emerging	64	Python
130	Extreme-classification/ECLARE ECLARE: Extreme Classification with Label Graph Correlations	38	Emerging	41	Python
131	THUDM/GraphMAE GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22	38	Emerging	579	Python
132	ChandlerBang/awesome-self-supervised-gnn Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).	38	Emerging	1,714	Python
133	senya-ashukha/simple-equivariant-gnn A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks	38	Emerging	140	Python
134	soda-inria/sepal Repository for SEPAL: Scalable Feature Learning on Huge Knowledge Graphs for...	38	Emerging	24	Python
135	harishsiravuri/kgforge Library to automate generation of knowledge graphs from scholarly text	38	Emerging	12	Python
136	shamim-hussain/egt_pytorch Edge-Augmented Graph Transformer	38	Emerging	81	Python
137	Danfoa/symmetric_learning Torch-based library for ML problems with symmetry priors. It provides...	38	Emerging	10	Python
138	PabloVD/CosmoGraphNet Graph Neural Networks to predict the cosmological parameters or the galaxy...	37	Emerging	19	Python
139	sigeisler/s2gnn Spatio-Spectral Graph Neural Networks (S²GNN)	37	Emerging	19	Python
140	Zehong-Wang/GPM Beyond Message Passing: Neural Graph Pattern Machine, ICML 2025	37	Emerging	12	Python
141	energnn/energnn A Graph Neural Network library for real-life energy networks.	37	Emerging	16	Python
142	datawhalechina/grape-book 图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book	37	Emerging	277	HTML
143	swapp-lab/HydroGAT Heterogenous Graph Attention Transformer for high-resolution, distributed...	37	Emerging	5	Python
144	emalgorithm/directed-graph-neural-network Dir-GNN is a machine learning model that enables learning on directed graphs.	37	Emerging	84	Python
145	TuGraph-family/TuGraph-AntGraphLearning Ant Graph Learning (AGL) provides a comprehensive solution for graph...	37	Emerging	92	Java
146	PabloVD/HaloGraphNet Predict halo masses from simulations via graph neural networks	37	Emerging	29	Python
147	yellowshippo/isogcn-iclr2021 IsoGCN code for ICLR2021	37	Emerging	50	Python
148	K-Wu/pytorch-direct Code for Large Graph Convolutional Network Training with GPU-Oriented Data...	36	Emerging	9	C++
149	THUMNLab/awesome-auto-graph-learning A paper collection about automated graph learning	36	Emerging	99	—
150	sidneyarcidiacono/UnderstandingGCNs The code, citation & note companion to the AICamp Webinar "Understanding...	36	Emerging	11	Jupyter Notebook
151	zlpure/awesome-graph-representation-learning A curated list for awesome graph representation learning resources.	36	Emerging	154	—
152	gasteigerjo/gtn Graph transport network (GTN), as proposed in "Scalable Optimal Transport in...	36	Emerging	15	Jupyter Notebook
153	azminewasi/Awesome-Graph-Research-ICLR2024 It is a comprehensive resource hub compiling all graph papers accepted at...	36	Emerging	101	—
154	joisino/laf Code for "Training-free Graph Neural Networks and the Power of Labels as...	36	Emerging	58	Python
155	BioinfoMachineLearning/GCPNet A geometry-complete SE(3)-equivariant perceptron network (GCPNet) for 3D...	36	Emerging	52	Python
156	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。	36	Emerging	110	Jupyter Notebook
157	BatsResearch/zsl-kg Framework for zero-shot learning with knowledge graphs.	36	Emerging	113	Python
158	SiamakGhodsi/DFNMF Fair graph learning: A fair and interpretable clustering algorithm based on...	36	Emerging	1	Jupyter Notebook
159	claws-lab/INPAC Code and data for the KDD 2023 paper "Predicting Information Pathways Across...	36	Emerging	27	Python
160	pykeen/kgem-software-review 📖 A review of KGEM packages and frameworks at...	35	Emerging	12	Python
161	ZhenyuYangMQ/Awesome-Graph-Level-Learning Awesome graph-level learning methods. Collections of commonly used datasets,...	35	Emerging	59	—
162	SherylHYX/MSGNN Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural...	35	Emerging	13	Python
163	saurabhdeshpande93/MAgNET A novel graph U-net architecture	35	Emerging	24	Mathematica
164	mukhlishga/gnn-powerflow Graph Neural Network application in predicting AC Power Flow calculation....	35	Emerging	110	Jupyter Notebook
165	YukeWang96/GNNAdvisor_OSDI21 Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System...	35	Emerging	69	Cuda
166	velicast/dress-graph DRESS: A Continuous Framework for Structural Graph Refinement	35	Emerging	2	Jupyter Notebook
167	Harshs27/tGLAD O(N) framework for Multivariate time series segmentation using sparse graph...	35	Emerging	5	Jupyter Notebook
168	SXKDZ/awesome-self-supervised-learning-for-graphs A curated list for awesome self-supervised learning for graphs.	35	Emerging	390	—
169	LISA-ITMO/CGT4NN Compositional Game Theory for Neural Networks	35	Emerging	4	Jupyter Notebook
170	yellowshippo/penn-neurips2022 PENN code for NeurIPS 2022	35	Emerging	42	Python
171	6lyc/CDNMF [ICASSP 2024] Official implementation of our paper "Contrastive Deep...	35	Emerging	42	Python
172	YukeWang96/TC-GNN_ATC23 Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and...	34	Emerging	55	Python
173	pnnl/modelsym Code to run the experiments of the Neurips 2022 paper On the Symmetries of...	34	Emerging	7	Jupyter Notebook
174	gasteigerjo/lcn Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport...	34	Emerging	19	Python
175	sh-lee97/grafx GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch	34	Emerging	135	Python
176	safreita1/malnet-graph A large-scale database for graph representation learning	34	Emerging	55	Python
177	C1nDeRainBo0M/AGCA The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel...	34	Emerging	32	Python
178	Hyper3Labs/hyper-models Model zoo for non-Euclidean embedding models (hyperbolic, hyperspherical) -...	34	Emerging	3	Python
179	microsoft/figure [NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled:...	33	Emerging	11	Python
180	flyingdoog/PGExplainer Parameterized Explainer for Graph Neural Network	33	Emerging	144	Jupyter Notebook
181	vevenom/pytorchgeonodes PyTorchGeoNodes is a PyTorch module for differentiable shape programs /...	33	Emerging	44	Python
182	arnab39/equiadapt Library to make any existing neural network architecture equivariant	33	Emerging	58	Jupyter Notebook
183	danielpatrickhug/GitModel Codebase topic modeling using GNNs(Node aggregation and clustering)	33	Emerging	62	Python
184	SunQingYun1996/Graph-Reinforcement-Learning-Papers A curated list of graph reinforcement learning papers.	33	Emerging	76	—
185	FeiGSSS/NEDMP Official PyTorch implementation of Neural Enhanced Dynamic Message Passing...	33	Emerging	8	Jupyter Notebook
186	lanl/DnMFk A C++ framework of Distributed Non-Negative Matrix Factorization...	33	Emerging	3	C++
187	trainsn/GNN-Surrogate GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for...	33	Emerging	26	C++
188	Lemon-cmd/energy-transformer-graph This repository contains the official code for Energy Transformer---an...	33	Emerging	25	Python
189	marcelomendoza/IIC3641 GML UC	33	Emerging	20	Jupyter Notebook
190	bdqnghi/ggnn.tensorflow Tensorflow implementation of Gated Graph Neural Network for Source Code...	33	Emerging	43	Java
191	ZZYSonny/PlanE Implementation of the BasePlanE models and the experiments from the NeurIPS...	32	Emerging	13	Python
192	Wang-Yu-Qing/EGES DGL implementation of EGES	32	Emerging	31	Python
193	zahta/Graph-Machine-Learning Course: Graph Machine Learning focuses on the application of machine...	32	Emerging	27	Jupyter Notebook
194	odinhg/Graph-Neural-Networks-INF367A Traffic prediction with graph neural network using PyTorch Geometric. The...	32	Emerging	31	Python
195	lin-tan/eagle For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep...	32	Emerging	13	Jupyter Notebook
196	graphcore-research/bess-kge A PyTorch library for Knowledge Graph Embedding on Graphcore IPUs...	32	Emerging	3	Jupyter Notebook
197	LiuChuang0059/graph-pooling-papers IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)	32	Emerging	117	—
198	lmotte/graph-prediction-with-fused-gromov-wasserstein Python implementation of the supervised graph prediction method proposed in...	31	Emerging	16	Python
199	haguettaz/ChebLieNet ChebLieNet, a spectral graph neural network turned equivariant by Riemannian...	31	Emerging	14	Python
200	snap-research/MLPInit-for-GNNs [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with...	31	Emerging	76	Jupyter Notebook
201	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。	30	Emerging	67	Jupyter Notebook
202	danielegrattarola/SRC Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).	30	Emerging	60	Python
203	azwad-tamir/gpt_gnn_3D_partitioner A GPT-GNN based verilog netlist partitioner for 3D IC design	30	Emerging	10	Verilog
204	eraseai/erase [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation...	30	Emerging	19	Python
205	eamag/igdl Inversed Geometric Deep Learning course helper library	30	Emerging	3	Python
206	reddy-lab/GraphZoo Facilitating learning, using, and designing graph processing...	30	Emerging	27	Jupyter Notebook
207	uoo723/PMGT Implementation of "Pre-training Graph Transformer with Multimodal Side...	29	Experimental	17	Python
208	zademn/netsci-labs (In progress) Network science laboratories. Covers graph theory, random...	29	Experimental	17	Jupyter Notebook
209	network-science-lab/infmax-trainer-icm-mln A PyTorch GNN model for top spreader identification in multilayer networks...	29	Experimental	3	Python
210	lucasSaavedra123/dynamic_clustering A concatenation of two GNNs to decode dynamic clustering on localization datasets	29	Experimental	1	Python
211	ic-lab-duth/FusedGCN4HLS Systolic Three Matrix Multiplier for Graph Convolutional Networks using High...	29	Experimental	23	C++
212	downeykking/graph-papers Graph Neural Network, Self-Supervised Learning, Contrastive Learning,...	29	Experimental	37	—
213	MilesCranmer/gnn_resource_allocation Code for our paper on doing resource allocation with graph neural networks	29	Experimental	32	Python
214	juyongjiang/awesome-graph-self-supervised-learning-based-recommendation A curated list of awesome graph & self-supervised-learning-based recommendation.	28	Experimental	47	—
215	vibalcam/gnn-systemic-risk Official implementation of "Predicting Systemic Risk in Financial Systems...	28	Experimental	13	Jupyter Notebook
216	XiaShan1227/SimGNN SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]	28	Experimental	10	Python
217	airscholar/AlphaTeam Complex Network Analysis Using Machine Learning	28	Experimental	7	HTML
218	nnaakkaaii/g2-MLP g2-MLP: State-of-the-Art Model for Node Classification on Graphs (PPI Dataset)	28	Experimental	10	Shell
219	facebookresearch/taser-tgnn [IPDPS 2024] Adaptive neighbor sampling for temporal GNN	27	Experimental	16	Python
220	luffycodes/neptune Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion	27	Experimental	16	Python
221	K-Wu/pytorch-direct_dgl Large Graph Convolutional Network Training with GPU-Oriented Data...	26	Experimental	44	—
222	alan-turing-institute/grace Graph Representation Analysis for Connected Embeddings	26	Experimental	34	Jupyter Notebook
223	CanBayraktaroglu/OPFGNN Master Thesis: Optimal Power Flow in Power Systems using Graph Neural Networks	26	Experimental	22	Jupyter Notebook
224	zhu-xlab/WSGraphCL This repository contains the implementation of WSGraphCL, a weak-strong...	26	Experimental	4	Python
225	XiaShan1227/Self-Attention-Graph-Pooling Self-Attention Graph Pooling [ICML-2019]	26	Experimental	9	Python
226	DMontgomery40/ttt_ssm_eval ttt_ssm_eval - Toy demo for Test-Time Training (TTT) in State Space Models...	25	Experimental	2	TypeScript
227	gongchenghua/Papers-Graphs-with-Heterophily A Survey of Learning from Graphs with Heterophily	25	Experimental	160	—
228	zixi-liu/Graphical-Neural-Network CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.	25	Experimental	8	Jupyter Notebook
229	sung-won-kim/TEG The official source code for "Task-Equivariant Graph Few-shot Learning...	23	Experimental	25	Python
230	xjwxjw/Pytorch-Learned-Cloth-Simulation Reimplementation of Learning Mesh-based Simulation With Graph Networks	23	Experimental	44	Python
231	blacker521/awesome-graph-structure-learning A collection of research papers related to graph structure learning(GSL).	23	Experimental	16	—
232	giuliacassara/awesome-hypergraph-learning A curated list of awesome Hypergraph Learning frameworks, libraries and software.	22	Experimental	23	—
233	uw-loci/gnn-pccp Graph neural networks for PDAC vs CP in histology	22	Experimental	6	Jupyter Notebook
234	crabsatellite/canonicalization-leakage CL-DIAG: Diagnosing canonicalization leakage in supervised learning under...	22	Experimental	—	Python
235	Blackhole32144/dress-graph Analyze and visualize graph structures efficiently across Python, Rust,...	22	Experimental	—	Jupyter Notebook
236	MaLoskins/araneos Full-stack graph intelligence platform for converting tabular data into...	22	Experimental	1	HTML
237	growingparticle/Top_Tagger_Architecture_Constraints A comparative study reproducing the Machine Learning Landscape of Top...	21	Experimental	—	Jupyter Notebook
238	yuehaowang/SoGCN SoGCN: Second-Order Graph Convolutional Networks	21	Experimental	7	Jupyter Notebook
239	davide-gurrieri/parallel-GCN High-performance CUDA C++ implementation of Graph Convolutional Networks	21	Experimental	7	C++
240	BorgwardtLab/ggme Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph...	21	Experimental	14	Python
241	manuel-dileo/dynamic-gnn Pytorch implementation of a dynamic gnn based on Roland framework	21	Experimental	18	Jupyter Notebook
242	zenwor/reddit_gcnn 🕸️ GNN-based Reddit Discussion Classifier	21	Experimental	11	Python
243	dennishnf/project-arxiv-citation-network This project involved the analysis of the ArXiv citation network.	21	Experimental	14	Jupyter Notebook
244	Miao-WANG-Trista/Influence-Maximization-on-Graph-Data Influential nodes identification & CELF implementation	21	Experimental	9	Jupyter Notebook
245	ashudeep/ranking-fairness-uncertainty Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty	21	Experimental	10	Jupyter Notebook
246	sablokrep/dgnseq graph attention network for seq models	21	Experimental	—	Rust
247	RozaAbolghasemi/Group_Recommendation_Syatem_GcPp_clustering A Jupyter notebook for a project centered around 'Group Recommendation...	21	Experimental	9	Jupyter Notebook
248	LUMIA-Group/SubTree-Attention Official implementation for "Tailoring Self-Attention for Graph via Rooted...	20	Experimental	11	Python
249	jonathan-gerb/crosswalk-reproduction A pytorch re-implementation of CrossWalk: Fairness-Enhanced Node...	20	Experimental	6	Jupyter Notebook
250	RozaAbolghasemi/GRS_crGAN Adversarial Preference Learning with Pairwise Comparisons for Group...	20	Experimental	7	Jupyter Notebook
251	tonysy/awesome-graph-networks Materials for Graph Models and Graph Networks	20	Experimental	11	—
252	NicolasMeseguer/pcgcn Partition Centric Graph Convolutional Networks in PyTorch	20	Experimental	6	C
253	smruthig/Schizophrenia_Analysis_using_GNN_and_ML Graph Neural Network and Machine Learning Analysis of Functional...	20	Experimental	7	Jupyter Notebook
254	danieloaAAU/Graph-Neural-Network-in-wireless-communication-Papers This repository contains list of publications on the application of Graph...	19	Experimental	19	—
255	Robotmurlock/Deepwalk-and-Node2vec Implementation of Word2Vec, DeepWalk and Node2vec papers.	19	Experimental	3	Jupyter Notebook
256	khanmhmdi/GAT-Graph-attention-neural-network- This repository contain the unofficial implementation of the graph attention...	19	Experimental	4	—
257	gaurav1154/graph-neural-network-course 🌐 Explore Graph Neural Networks through this comprehensive course, covering...	19	Experimental	1	Jupyter Notebook
258	sisinflab/LoG-2023-GNNs-RecSys Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)	19	Experimental	17	Jupyter Notebook
259	Oisin-M/GFN-ROM Graph Feedforward Networks: a resolution-invariant generalisation of...	18	Experimental	3	Jupyter Notebook
260	NetworkScienceLab/CoreGDM Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling...	18	Experimental	2	—
261	Wingless-kb922/org-grapher 🌐 Visualize your Org-mode data with org-grapher for easy connections and...	14	Experimental	—	C#
262	ArthurDelannoyazerty/Mesh-simplification-GNN School project WIP. Implementation of the paper 'Neural Mesh Simplification'...	14	Experimental	17	Python
263	creator78146/Coarsening-FMRI-Graph-To-Predict-Phenotype-Features Graph-based analysis of fMRI data using coarsening techniques to predict...	14	Experimental	—	Jupyter Notebook
264	sxhxliang/DLGraph model graph to code	13	Experimental	9	JavaScript
265	Lordefex/gnn-node-link-pytorch 🔍 Explore Graph Neural Networks for node classification and link prediction...	13	Experimental	—	—
266	Jayadratha/DevoTG_GSoC DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development - GSOC@INCF	13	Experimental	—	HTML
267	Naveen-1-1/social-network-analysis Social Network Analysis - University of Michigan	13	Experimental	—	Jupyter Notebook
268	april211/Conf_Papers_2024 Interesting papers related to graph data mining. (published on ICML, IJCAI,...	13	Experimental	9	TeX
269	farenga/meshGNN Repository for: "Agglomeration of Polygonal Grids using Graph Neural...	12	Experimental	6	MATLAB
270	MengjieChan/GCN_for_Node_Classification_Task An implementation of the Graph Convolution Networks for the Cora, Citeseer,...	12	Experimental	5	Jupyter Notebook
271	elichienxD/HyperAid This is the repository for the KDD 2022 paper "HyperAid: Denoising in...	12	Experimental	6	Common Lisp
272	kanhaiya-gupta/gnn-research-platform A comprehensive research platform for Graph Neural Networks (GNNs) featuring...	11	Experimental	2	HTML
273	zahiriddin-rustamov/GRIST Graph Reduction for Instance SelecTion - A comprehensive toolkit for...	11	Experimental	—	—
274	WillHord/Deep-Learning-Graph-Reader A deep learning powered program to convert an image of a graph into a table of data	11	Experimental	—	Jupyter Notebook
275	alexbond008/GNN_Model Simulation of lungs using Graph Neural Networks	11	Experimental	1	Edge
276	abdulvahapmutlu/my-gnn-vae This project implements a Personalized Recommendation System using Graph...	11	Experimental	—	Jupyter Notebook
277	chenxingqiang/Tutorial-ECML-PKDD-2020 https://www.aminer.cn/grla_ecmlpkdd2020 focusing on Tutorial-ECML-PKDD-2020,...	11	Experimental	—	—
278	obilogy/G3NS Optimization of an Up-scalable Graph Neural Network based on the C. Elegans...	11	Experimental	—	HTML
279	alirezaassadzadeh/MNGCN MULTISTAGE NON-DETERMINISTIC CLASSIFICATION USING SECONDARY CONCEPT GRAPHS...	11	Experimental	—	Python
280	mahnoorsheikh16/Node-Classification-with-Graph-Neural-Networks Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN...	11	Experimental	2	Jupyter Notebook
281	lhthien09/validation_GraphStructureLearning Graph Structure Learning methods with citation network applications	11	Experimental	4	Jupyter Notebook
282	alphrc/multilevel-hypergraph-poc POC of the Multi-level Hypergraph structure for Ontology and Machine Learning	11	Experimental	—	—
283	machinelearningzuu/everything-about-graph-neural-nets In this repo I have implement different applications of GNN which covers...	11	Experimental	3	—
284	ASeify/IM2 Influence Maximization in Multilayer Complex Networks (IM2)	10	Experimental	2	Jupyter Notebook
285	r-gould/gcn Implementation of a Graph Convolutional Network in PyTorch from the paper...	10	Experimental	2	Python

Comparisons in this category

pytorch_geometric and stellargraph (80 vs 58) pytorch_geometric and gnn (80 vs 61) pytorch_geometric and graphein (80 vs 70) pytorch_geometric and deepsnap (80 vs 58) pytorch_geometric and graphnet (80 vs 59) pytorch_geometric and GiGL (80 vs 61) graphein and dgl (70 vs 66)