Abstract: Graph Transformers (GTs) have shown great potential in graph representation learning over the past few years. In spite of their promising performance on small graphs, how to develop a ...
Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...
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