Graph Embedding in the Graph Fractional Fourier Transform Domain

ArXi:2508.02383v2 Announce Type: replace Spectral graph embedding plays a critical role in graph representation learning by generating low-dimensional vector representations from graph spectral information. However, the embedding space of traditional spectral embedding methods often exhibit limited expressiveness, failing to exhaustively capture latent structural features across alternative transform domains.