Jinsong Chen

Orcid: 0000-0001-7588-6713

Affiliations:
  • Huazhong University of Science and Technology (HUST), School of Computer Science and Technology, Wuhan, China


According to our database1, Jinsong Chen authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
PAMT: A Novel Propagation-Based Approach via Adaptive Similarity Mask for Node Classification.
IEEE Trans. Comput. Soc. Syst., October, 2024

Neighborhood convolutional graph neural network.
Knowl. Based Syst., 2024

NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification.
CoRR, 2024

Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning.
CoRR, 2023

SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning.
CoRR, 2023

Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs.
CoRR, 2023

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning.
CoRR, 2022

Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification.
CoRR, 2022

Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks.
CoRR, 2022

NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs.
CoRR, 2022

Structural Robust Label Propagation on Homogeneous Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2022


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