4 papers across 3 sessions
We propose a general parameter-free self-boosting plug-in to improve the clustering performance of various deep clustering models.
We propose the first comprehensive and unified benchmark for deep graph clustering, offer an open-source package named PyDGC, and point out promising research directions for DGC from extensive experimental analyses.