A general purpose community detection and network embedding library for research built on NetworkX.

Implementation and experiments of graph embedding algorithms.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Python API to evaluate performance of network embedding on node classification with LIBLINEAR

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

DeepWalk - Deep Learning for Graphs

Incremental vertex representation learning using random walks and skip-gram model.

Code repository supporting the medium blog

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

Representation learning for link prediction within social networks

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

The Leek group guide to data sharing