Size Transferability of Graph Transformers with Convolutional Positional Encodings
arXiv:2602.15239v1 Announce Type: new Abstract: Transformers have achieved remarkable success across domains, motivating the rise of Graph Transformers (GTs) as attention-based architectures for graph-structured data. …
Javier Porras-Valenzuela, Zhiyang Wang, Alejandro Ribeiro
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