SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

Qitian Wu, Wentao Zhao, Chenxiao Yang +5

Learning representations on large-sized graphs is a long-standing challenge due to the inter-dependence nature involved in massive data points. Transformers, as an emerging class o…