NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs. - Jinsong Chen 002; Kaiyuan Gao; Gaichao Li; Kun He 001 (CoRR, 2022)

Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning. - Gaichao Li; Jinsong Chen 002; Kun He 001 (CoRR, 2022)

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. - Jinsong Chen 002; Kaiyuan Gao; Gaichao Li; Kun He 001 (ICLR, 2023)

Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs. - Jinsong Chen 002; Chang Liu; Kaiyuan Gao; Gaichao Li; Kun He 001 (CoRR, 2023)

SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning. - Jinsong Chen 002; Gaichao Li; John E. Hopcroft; Kun He 001 (CoRR, 2023)

Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning. - Gaichao Li; Jinsong Chen 002; John E. Hopcroft; Kun He 001 (CoRR, 2023)

Rethinking Tokenized Graph Transformers for Node Classification. - Jinsong Chen 002; Chenyang Li; Gaichao Li; John E. Hopcroft; Kun He 001 (CoRR, 2025)

NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs. - Jinsong Chen 002; Chang Liu; Kaiyuan Gao; Gaichao Li; Kun He 001 (IEEE Trans. Big Data, 2025)