Graph neural networks for influence maximization

A project about graph neural networks for influence maximization in graphs

Description

This project was part of the course Graphs in Machine learning taught by Michal Valko. The project was proposed by Peter Battaglia and supervised by Peter and Michal together.

The goal of this project was to apply graph neural networks on the influence maximization (IM) problem for a graph with the independent cascade (IC) assumption (more details in the report). The project was in collaboration with Hind Dadoun