Learning to Coarsen Graphs with Graph Neural Networks

Abstract

With the rise of large-scale graphs for relational learning, graph coarsening emerges as a computationally viable alternative. We revisit the principles that aim to improve data-driven graph coarsening with adjustable coarsened structures.

Tasks

Reproductions