Haixing Zhao

D2GSL: Self-Supervised Dual-Layer Structure-Driven Graph Structure Learning

D2GSL constructs a semantic similarity channel and a spectral feature channel to model node relationships from both local semantic and global spectral views and introduces a hyperadjacency matrix that explicitly models inter-layer node correspondences and enables joint structural reconstruction across channels.