Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
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README.md

README.md

Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data

In this repository, wou will find all material needed to complete the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data.

A summary of the tutorial can be found in the detailed proposal.

A detailed tutorial schedule as well as step-by-step setup instructions can be found on the tutorial website.

While you can manually download all necessary files, we strongly recommend to clone this repository to obtain a local, sychronised copy of all material via git. Assuming you have a local git installation, you can do this as follows:

git clone https://github.com/IngoScholtes/kdd2018-tutorial

If you don't have git installed already, here you can find information on how to set up git.

Prior to the hands-on tutorial, you will get access to skeleton python files, that we will complete together throughout the tutorial sessions. At specific *synchronisation points, we will push a commit of the current solution to this gitHub repository. You can thus simply execute the terminal command

git pull

in the directory of your local copy to receive a sample solution that is growing as the tutorial advances.