Jinsong Chen - RankMe

21 papers A* 3Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrating deep clustering and multi-view graph neural networks for recommender system. Knowl. Based Syst. Jiaxuan Song, Yue Li, Duantengchuan Li, Xiaoguang Wang, Rui Zhang, Hui Zhang, Jinsong Chen
2026	J	`jnl`	NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification. IEEE Trans. Big Data Jinsong Chen, Siyu Jiang, Kun He
2025	J	`jnl`	DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification. CoRR Chenyang Li, Jinsong Chen, John E. Hopcroft, Kun He
2025	J	`jnl`	GTPool: Graph Transformer Pooling With Diverse Sampling. IEEE Trans. Big Data Gaichao Li, Jinsong Chen, Kun He
2025	J	`jnl`	Hybrid long-range dependency-aware graph convolutional network for node classification. Knowl. Inf. Syst. Jinsong Chen, Meng Wang, Kun He
2025	J	`jnl`	NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs. IEEE Trans. Big Data Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He
2025	J	`jnl`	Rethinking Tokenized Graph Transformers for Node Classification. CoRR Jinsong Chen, Chenyang Li, Gaichao Li, John E. Hopcroft, Kun He
2024	A*	`conf`	Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. NeurIPS Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
2024	J	`jnl`	Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers. CoRR Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
2024	J	`jnl`	NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification. CoRR Jinsong Chen, Siyu Jiang, Kun He
2024	J	`jnl`	Neighborhood convolutional graph neural network. Knowl. Based Syst. Jinsong Chen, Boyu Li, Kun He
2024	J	`jnl`	PAMT: A Novel Propagation-Based Approach via Adaptive Similarity Mask for Node Classification. IEEE Trans. Comput. Soc. Syst. Jinsong Chen, Boyu Li, Qiuting He, Kun He
2023	J	`jnl`	Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning. CoRR Gaichao Li, Jinsong Chen, John E. Hopcroft, Kun He
2023	A*	`conf`	NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. ICLR Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
2023	J	`jnl`	SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning. CoRR Jinsong Chen, Gaichao Li, John E. Hopcroft, Kun He
2023	J	`jnl`	Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs. CoRR Jinsong Chen, Chang Liu, Kaiyuan Gao, Gaichao Li, Kun He
2022	J	`jnl`	Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning. CoRR Gaichao Li, Jinsong Chen, Kun He
2022	J	`jnl`	NAGphormer: Neighborhood Aggregation Graph Transformer for Node Classification in Large Graphs. CoRR Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
2022	J	`jnl`	Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification. CoRR Jinsong Chen, Boyu Li, Kun He
2022	J	`jnl`	Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks. CoRR Jinsong Chen, Boyu Li, Qiuting He, Kun He
2022	A*	`conf`	Structural Robust Label Propagation on Homogeneous Graphs. ICDM Qiuting He, Jinsong Chen, Hao Xu, Kun He