A collection of important graph embedding, classification and representation learning papers with implementations.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

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

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

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

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

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

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

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

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Variational Graph Recurrent Neural Networks - PyTorch

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

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

TigerLily: Finding drug interactions in silico with the Graph.

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).