Gaichao Li — accepted AI-conference papers

2025

Rethinking Tokenized Graph Transformers for Node Classification

Jinsong Chen, Chenyang Li, Gaichao Li, John E. Hopcroft, Kun He

NeurIPS 2025poster

Node tokenized graph Transformers (GTs) have shown promising performance in node classification. The generation of token sequences is the key module in existing tokenized GTs which transforms the input graph into token sequences, facilitating the node representation learning via Transformer. In this…

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2023

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He

ICLR 2023poster

The graph Transformer emerges as a new architecture and has shown superior performance on various graph mining tasks. In this work, we observe that existing graph Transformers treat nodes as independent tokens and construct a single long sequence composed of all node tokens so as to train the Transf…

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