Jin Li

According to our database, Jin Li authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Curriculum-guided graph self-augmentation: A progressive deepening framework for GNNs.

Li Yu, Qirong Zhang, Jin Li, Xinlong Chen, Yang-Geng Fu

Neural Networks, 2026

UniTrain: A universal iterative semi-supervised training framework for graph representation learning.

Xinlong Chen, Jin Li, Yisong Huang, Jianzhi Zhuang, Chenjunhao Shi, Zuhao Xu, Yang-Geng Fu

Neural Networks, 2026

Feature space variation-based active learning sample query strategy for graph deep learning.

Xinlong Chen, Mingyu Lin, Yuzhuo Wang, Jin Li, Feiyang Ye, Yang-Geng Fu

Expert Syst. Appl., 2026

2025

Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs.

Jin Li, Qirong Zhang, Wenxi Liu, Antoni B. Chan, Yang-Geng Fu

IEEE Trans. Neural Networks Learn. Syst., April, 2025

GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing.

Yang-Geng Fu, Xinlong Chen, Shuling Xu, Jin Li, Xi Yao, Ziyang Huang, Ying-Ming Wang

Neural Networks, 2025

Enhanced Graph Transformer: Multi-scale attention with Heterophilous Curriculum Augmentation.

Jianzhi Zhuang, Jin Li, Chenjunhao Shi, Xinyi Lin, Yang-Geng Fu

Knowl. Based Syst., 2025

2024

DWSSA: Alleviating over-smoothness for deep Graph Neural Networks.

Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu

Neural Networks, 2024

Training Graph Transformers via Curriculum-Enhanced Attention Distillation.

Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective.

Chenjunhao Shi, Jin Li, Jianzhi Zhuang, Xi Yao, Yisong Huang, Yang-Geng Fu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs.

Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Semi-Supervised Node Classification via Semi-Global Graph Transformer Based on Homogeneity Augmentation.

Jin Li, Yisong Huang, Xinlong Chen, Yang-Geng Fu

Parallel Process. Lett., 2023

Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization.

Jin Li, Bingshi Li, Qirong Zhang, Xinlong Chen, Xinyang Huang, Longkun Guo, Yang-Geng Fu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023