Machine Learning on Graphs

Diego Kozlowski · Open Repository and Bibliography (University of Luxembourg) · 2020

Graphs are a ubiquitous data structure that can be exploited in many different problems. In tasks where observations are not independently drawn from the data generating process, but their codependencies add valuable information, a network analysis might be useful for modelling those relations. In this seminar we will discuss about Graph Neural Networks, the deep learning approach for dealing with networks.

Read the paper · More papers on PaperTik