Rongqin Chen

According to our database, Rongqin Chen authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

Multi-Scale Spatiotemporal Dynamic Graph Neural Network for Early Prediction of Mortality Risks in Heart Failure Patients.

Longfei Liu, Rongqin Chen, Jifu Qu, Chunli Liu, Ye Li, Dan Wu

IEEE J. Biomed. Health Informatics, October, 2025

Predicting mortality risk in the intensive care unit using a Hierarchical Inception Network for heterogeneous time series.

Yujie Hang, Longfei Liu, Rongqin Chen, Xiaopeng Fan, Feng Sha, Dan Wu, Ye Li

Biomed. Signal Process. Control., 2025

Enhanced Subgraph Learning in 2-FWL GNNs via Local Connectivity, Spectral, and Distance Encodings.

Rongqin Chen, Yan Li, Dan Wu, Fan Mo, Shenghui Zhang, Pak Lon Ip, Hoi Cheong Iam, Ye Li, Leong Hou U

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification.

Zijie Zhou, Zhaoqi Lu, Xuekai Wei, Rongqin Chen, Shenghui Zhang, Pak Lon Ip, Leong Hou U

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SVMPT: A Hybrid Approach to Sparse and Irregular Clinical Data Learning with Selective Variable-wise Message Passing and Transformer.

Rongqin Chen, Dan Wu, Leong Hou U, Ye Li

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2022

Redundancy-Free Message Passing for Graph Neural Networks.

Rongqin Chen, Shenghui Zhang, Leong Hou U, Ye Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022