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

• Updated Mar 18, 2023
• Python

Implementation and experiments of graph embedding algorithms.

line graph deepwalk node2vec graphembedding struc2vec sdne

• Updated Apr 26, 2026
• Python

A distributed graph deep learning framework.

deep-learning graph network-embedding random-walk graph-convolutional-networks gcn node2vec graph-embedding graph-learning graphsage graph-neural-networks ggnn

• Updated Aug 19, 2023
• C++

A curated list of community detection research papers with implementations.

data-science machine-learning deep-learning social-network clustering community-detection network-science deepwalk matrix-factorization networkx dimensionality-reduction factorization network-analysis unsupervised-learning igraph embedding graph-clustering node2vec network-clustering bigclam

• Updated Dec 20, 2025
• Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

machine-learning sklearn community-detection network-science deepwalk networkx supervised-learning louvain unsupervised-learning network-embedding scikit label-propagation gcn graph-clustering node2vec networkx-graph graph-embedding graph2vec node-embedding 2vec

• Updated Jul 17, 2024
• Python

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolution node2vec graph-classification capsule-network graph-attention-networks capsule-neural-networks graph-attention-model struc2vec graph-convolution gnn graph-neural-network capsgnn

• Updated Mar 18, 2023
• Python

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

machine-learning kernel word2vec deepwalk matrix-factorization transformer unsupervised-learning graph-kernel node2vec weisfeiler-lehman noise-contrastive-estimation graph-embedding graph2vec subgraph2vec graph-wavelet node-embedding struc2vec implicit-matrix-factorization diff2vec gemsec

• Updated Nov 6, 2022
• 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

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk transformer convolutional-neural-networks gcn iclr graph-representation node2vec graph-convolutional-network graphsage graph-neural-networks graph-convolution gwnn gpt2 gpt3

• Updated Mar 18, 2023
• Python

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

machine-learning deep-learning tensorflow pytorch deepwalk convolutional-layers convolutional-neural-networks ngcn convolutional gcn node2vec pytorch-cnn graph-attention-networks multi-scale graph-representation-learning walklet graph-convolution graph-attention walklets mixhop

• Updated Nov 6, 2022
• Python

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

machine-learning deep-neural-networks research deep-learning pagerank pytorch deepwalk attention network-embedding gcn iclr node2vec graph-embedding graph-classification node-embedding graph-attention graph-convolutional-neural-networks graph-neural-network ppnp appnp

• Updated Nov 6, 2022
• Python

Representation learning for link prediction within social networks

graph-algorithms social-network networkx autoencoder representation-learning link-prediction node2vec

• Updated Sep 4, 2018
• Jupyter Notebook

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

machine-learning deep-learning tensorflow word2vec sklearn torch pytorch deepwalk matrix-factorization attention nips node2vec graph-neural-networks graph-representation-learning structural-attention implicit-factorization walklet graph-attention neurips neurips-2018

• Updated Nov 6, 2022
• Python

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

machine-learning reinforcement-learning sklearn deep-reinforcement-learning pytorch deepwalk neural-networks attention transfer-learning gcn node2vec graph-classification graphsage graph2vec structural-attention graph-convolution graph-attention reinforcement-agent

• Updated Nov 6, 2022
• Python

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

machine-learning facebook neural-network clustering tensorflow word2vec community-detection deezer deepwalk matrix-factorization gensim unsupervised-learning embedding network-embedding node2vec graph-embedding gemsec implicit-factorization semisupervised-learning m-nmf

• Updated Nov 6, 2022
• Python

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 "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

machine-learning deep-learning clustering word2vec community-detection pytorch deepwalk gensim factorization network-embedding node2vec graph-embedding overlapping-community-detection deep-neural-network graph-representation-learning node-embedding implicit-factorization graph-neural-network ego-splitting word-vector

• Updated Jun 6, 2023
• 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