Jianqing Song

According to our database, Jianqing Song authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

TGSL: Trade-off graph structure learning via multifaceted graph information bottleneck.

Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie

Neural Networks, 2026

HALF: A homophily-aware loss fusion for robust learning under label noise in heterophilic graphs.

Shuangjie Li, Baoming Zhang, Meng Cao, Jianqing Song, Xinyu Cheng, Chongjun Wang

Inf. Sci., 2026

2025

Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity.

Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie

Neural Networks, 2025

TorchCP: A Python Library for Conformal Prediction.

Jianguo Huang, Jianqing Song, Xuanning Zhou, Bingyi Jing, Hongxin Wei

J. Mach. Learn. Res., 2025

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification.

Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise.

Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie

CoRR, 2024

Similarity-Navigated Conformal Prediction for Graph Neural Networks.

Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation.

Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels.

Jinliang Yuan, Hualei Yu, Meng Cao, Jianqing Song, Junyuan Xie, Chongjun Wang

Appl. Intell., November, 2023

A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding.

Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction.

Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2023