Gaichao Li

According to our database, Gaichao Li authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Tokenized Heterogeneous Graph Transformer with Enhanced Local and Global Representation Learning.

Gaichao Li, Jinsong Chen, Yangzhe Peng, Kun He

ACM Trans. Knowl. Discov. Data, May, 2026

2025

GTPool: Graph Transformer Pooling With Diverse Sampling.

Gaichao Li, Jinsong Chen, Kun He

IEEE Trans. Big Data, December, 2025

NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs.

Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He

IEEE Trans. Big Data, August, 2025

Rethinking Tokenized Graph Transformers for Node Classification.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning.

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

CoRR, 2023

SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning.

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

CoRR, 2023

Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs.

Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He

CoRR, 2023

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

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning.

Gaichao Li, Jinsong Chen, Kun He

CoRR, 2022

NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs.

Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He

CoRR, 2022