Learning to Coarsen Graphs with Graph Neural Networks

Anonymous

Keywords: relational learning, graph convolutions, graph theory

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.

ICLR Paper: https://openreview.net/forum?id=uxpzitPEooJ