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20242026
most citedWhat Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding

1 citations · 3 across the 6 of their papers we have counts for

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cs.LG2024★ 1 cited

Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification

Yunshi Wen, Tengfei Ma, Tsui-Wei Weng +2

In time-series analysis, many recent works seek to provide a unified view and representation for time-series across multiple domains, leading to the development of foundation model…

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…