DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability

Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi. DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. In Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic, editors, Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. pages 442-450, SIAM, 2023. [doi]

Abstract

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