Jianwen Ma

MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering

This paper studies the problem of text-attributed graph clustering, which aims to cluster each node into different groups using both textual attributes and structural information. Although graph neural networks (GNNs) have been proposed to solve this problem, their performance is usually limited whe…