A Closer Look at Graph Transformers: Cross-Aggregation and Beyond

NeurIPSSpotlight2025

Authors: Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wenning Wu, Zhen Wang, Xiaochun Cao, Liang Yang
Venue: NeurIPS 2025
Track: Spotlight

TL;DR

Graph Transformers (GTs), which effectively capture long-range dependencies and structural biases simultaneously, have recently emerged as promising alternatives to traditional Graph Neural Networks (…

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Topics

graph neural network transformer graph

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