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

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

• Updated Nov 6, 2022
• Python

A repository of pretty cool datasets that I collected for network science and machine learning research.

data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network

• Updated Dec 20, 2025

The official implementation for ICLR2023 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

text-classification pytorch transformer image-classification attention diffusion diffusion-equation geometric-deep-learning node-classification graph-neural-networks pytorch-geometric spatial-temporal-forecasting graph-transformer large-graph iclr2023 pytorch-geometric-temporal

• Updated Nov 6, 2026
• Python

The official implementation of NeurIPS2022 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

text-classification pytorch image-classification relational-learning node-classification graph-neural-networks pytorch-geometric graph-transformer large-graph graph-structure-learning neurips-2022

• Updated Nov 6, 2026
• Jupyter Notebook

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

machine-learning deep-learning neural-network pytorch deepwalk transformer network-embedding gcn node2vec graph-embedding node-classification graphsage graph-neural-networks graph-convolution graph-attention signed-network sgcn pytorch-geometric gpt2 gpt3

• Updated Mar 18, 2023
• Python

[DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification

deep-learning semi-supervised-learning autoencoders network-embedding link-prediction graph-representation node-classification

• Updated Jul 18, 2019
• Python

A collection of graph foundation models including papers, codes, and datasets.

machine-learning deep-learning molecule transfer-learning representation-learning unsupervised-learning data-augmentation link-prediction zero-shot-learning graph-classification node-classification few-shot-learning graph-neural-networks self-supervised-learning knowlege-graph graph-representation-learning node-embedding pre-training foundation-models graph-foundation-model

• Updated Jul 10, 2025

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

gae deepwalk matrix-factorization network-embedding link-prediction node2vec graph-embedding node-classification graph-embedding-methods struc2vec sdne graph-embeddings-evaluation biomedical-networks line-embedding graph-factorization biomedical-graphs

• Updated Apr 14, 2020
• Python

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network

• Updated Nov 6, 2022
• Python

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

semi-supervised-learning geometric-deep-learning node-classification graph-neural-networks

• Updated Oct 11, 2022
• Python

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

representation-learning robustness information-bottleneck node-classification graph-neural-networks

• Updated Nov 29, 2022
• Jupyter Notebook

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

link-prediction graph-convolutional-network node-classification graph-neural-network relational-graphs

• Updated Aug 11, 2021
• Python

Topological Graph Neural Networks (ICLR 2022)

machine-learning pytorch persistent-homology graph-classification node-classification graph-learning pytorch-geometric iclr2022

• Updated Jun 10, 2022
• Python

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

machine-learning semi-supervised-learning hierarchical-models graph-convolutional-networks node-classification graph-neural-networks network-mining

• Updated Apr 25, 2024
• Python

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

graphs signac node-classification graph-neural-networks neurips-2020 heterophily

• Updated Jun 18, 2025
• Python

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

python benchmark data-mining library graph-algorithms graphs evaluation research-tool networks representation-learning benchmark-framework graph-api network-embedding link-prediction multilabel-classification graph-embedding node-classification network-reconstruction graph-representation-learning sign-prediction

• Updated Dec 14, 2025
• Python

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution

• Updated Mar 18, 2023
• Python

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

edge-classification network-embedding link-prediction dynamic-graph-algorithm graph-embedding graph-convolutional-network node-classification graph-neural-networks graph-representation-learning dynamic-graphs graph-neural-network dynamic-graph-embedding dynamic-graph-processing temporal-graph-networks graph-embedding-approaches graph-centrality-prediction

• Updated Jun 15, 2026
• Python

The official implementation for ICLR2023 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

deep-learning pytorch artificial-intelligence outlier-detection label-propagation geometric-deep-learning node-classification graph-neural-networks anamoly-detection pytorch-geometric out-of-distribution-detection large-graph trustworthy-ai distribution-shift out-of-distribution-generalization

• Updated Nov 6, 2026
• Python