Deep Contrastive Graph Learning with Clustering-Oriented Guidance

arXiv:2402.16012v1 Announce Type: new
Abstract: Graph Convolutional Network (GCN) has exhibited remarkable potential in improving graph-based clustering. To handle the general clustering scenario without a prior graph, these models estimate an initial graph beforehand to apply GCN. Throughout the literature, we have witnessed that 1) most models focus on the initial graph while neglecting the original features. Therefore, the discriminability of the learned representation may be corrupted by a low-quality initial graph; 2) the training procedure lacks effective clustering guidance, …

abstract apply arxiv clustering cs.lg focus general graph graph-based graph learning guidance literature network prior type