DAGCN: Dual Attention Graph Convolutional Networks. - Fengwen Chen; Shirui Pan; Jing Jiang 002; Huan Huo; Guodong Long (IJCNN, 2019)

Dynamic governance of social network based on dynamic optimisation algorithm: a new perspective of AI system. - Fengzhang Chen; Fengwen Chen; Fangnan Liao; Lu Zhang; Jing Zhang (Int. J. Technol. Manag., 2020)

A Comprehensive Survey on Graph Neural Networks. - Zonghan Wu; Shirui Pan; Fengwen Chen; Guodong Long; Chengqi Zhang; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Personalized Federated Learning With a Graph. - Fengwen Chen; Guodong Long; Zonghan Wu; Tianyi Zhou 001; Jing Jiang 002 (IJCAI, 2022)

Personalized Federated Learning With Structure. - Fengwen Chen; Guodong Long; Zonghan Wu; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2022)

A Text-Based Competition Network: The Perspective of Information Disclosure. - Wei Wang 514; Fengzhang Chen; Zewei Long; Fengwen Chen; Fu-Sheng Tsai (J. Organ. End User Comput., 2023)

Fairness in graph-based semi-supervised learning. - Tao Zhang 055; Tianqing Zhu; Mengde Han; Fengwen Chen; Jing Li 009; Wanlei Zhou 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding. - Fengwen Chen; Guodong Long (IEEE Trans. Big Data, 2024)

ERD-Net: Modeling entity and relation dynamics for Temporal Knowledge Graph reasoning. - Longquan Liao; Linjiang Zheng; Fengwen Chen; Jiaxing Shang; Xu Li 014; Wengang Li (Knowl. Based Syst., 2025)

ATPF: An Adaptive Temporal Perturbation Framework for Adversarial Attacks on Temporal Knowledge Graph. - Longquan Liao; Linjiang Zheng; Jiaxing Shang; Xu Li 014; Fengwen Chen (IEEE Trans. Knowl. Data Eng., 2025)