Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering

TL;DR

Graph clustering is a fundamental task in data analysis, aiming at grouping nodes with similar characteristics in the graph into clusters. This problem has been widely explored using graph neural networks (GNNs) due to their ability to leverage node attributes and graph topology for effective cluster assignments.

Opening excerpt from the authors’ abstract. source