SPR: Toward a Graph Foundation Model for Transferable Graph Cognition via Spectral Patterns and Relational Geometry
SP decomposes graph information into Chebyshev polynomial bases and learns shared spectral responses, enabling unified yet adaptive cognition of continuously varying spectral patterns across graphs and enables effective and transferable graph cognition.
Ankang Yang, Ji-Tao Zhao, Dong-Xiao He et al.
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