Abstract: Highlights•Investigate graph clustering from a graph cut perspective.•Proposing a novel and non-GNN-based graph clustering paradigm, DCGC.•A cut-informed graph encoding module to fuse graph structure and node attributes.•Self-supervised graph clustering via optimal transport.
External IDs:doi:10.1016/j.inffus.2025.103603
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