2023
Scalable Attributed-Graph Subspace Clustering
AAAI 2023technical
Over recent years, graph convolutional networks emerged as powerful node clustering methods and have set state of the art results for this task. In this paper, we argue that some of these methods are unnecessarily complex and propose a node clustering model that is more scalable while being more eff…