most citedWhat Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding

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cs.LG2024★ 1 cited

What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding

Hongkang Li, Meng Wang, Tengfei Ma +3

Graph Transformers, which incorporate self-attention and positional encoding, have recently emerged as a powerful architecture for various graph learning tasks. Despite their impre…