Network Analysis in Python

StellarGraph - Machine Learning on Graphs

A React toolkit for graph analysis based on G6

NetworKit is a growing open-source toolkit for large-scale network analysis.

A graph-focused data visualisation and interactive analysis application.

GraphBLAS for Python

depthmapX is a multi-platform Spatial Network Analysis Software

Yelper recommendation system

depthmapX is a multi-platform Spatial Network Analysis Software

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Reference mobile app for BrightID

A NetworkX addon to compute the graph Ricci curvature and Ricci flow.

A dynamic connectome mapping module in python.

Open Semantic Visual Linked Data Graph Explorer: Open Source tool (web app) and user interace (UI) for discovery, exploration and visualization of direct and indirect connections between named entities like persons, organizations, locations & concepts from thesarus or ontologies within your documents and knowledgegraph

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"

The Subdue graph miner discovers highly-compressing patterns in an input graph.

Profiling and Deanonymizing Ethereum Users

Neuropycon package of functions for electrophysiology analysis, can be used from ephypype and nipype

🌠 Fast graph analysis engine

THIS DASHBOARD CONTINUOUSLY QUERIES PUBLIC DATABASES AND UPDATES CASES FOR ALL COUNTRIES.

CS Graph editor : Javscript based frontend visual graph editor

A project about sentiment analysis and graph & network analysis made with jupyter & IPython kernel for some academical purposes, about Brexit story written from twitter analysis

Analyzing transportation graph from NYC data

Exploring how graph-based recommender systems react under black-box adversarial pressure.

The purpose of this project is to provide a simple and interactive platform for visualization.

Implementations of label propagation like algorithms

Finding paths of interest in networks

To analyze metric reach, directional reach, intersection reach, and more.

Demo on applying the concept of network analysis on a network of connected railway stations, attempting to identify the important stations (nodes) in this network. Web scraping techniques using rvest package is also briefly discussed upon.