Cangfeng Ding

According to our database, Cangfeng Ding authored at least 15 papers between 2016 and 2026.

Collaborative distances:

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

2026

Efficient rotated graph similarity learning via linear graph transformer networks.

Cangfeng Ding, Zhaoyao Yan, Lerong Ma, Lu Cao, Hao You

Int. J. Mach. Learn. Cybern., January, 2026

GraphBA: Linear graph block-attention for node classification via graph partitioning.

Cangfeng Ding, Shuwen Wang, Yihang Li, Jia Zhang

Expert Syst. Appl., 2026

DGT: Differential graph transformer for graph learning with few-shot learning.

Bohao Cao, Cangfeng Ding, Kexin Chen, Ye Zhu

Expert Syst. Appl., 2026

2025

AdaMGT: Molecular representation learning via adaptive mixture of GCN-Transformer.

Cangfeng Ding, Zhaoyao Yan, Lerong Ma, Bohao Cao, Lu Cao

Knowl. Based Syst., 2025

Rotated graph similarity computation via graph transformer networks.

Zhaoyao Yan, Cangfeng Ding, Lerong Ma, Lu Cao, Hao You

Neurocomputing, 2025

Detecting Community Structures in Directed Networks Based on Latent In-Out-Link Patterns.

Cangfeng Ding, Ye Zhu, Bohao Cao, Kexin Chen

Proceedings of the International Joint Conference on Neural Networks, 2025

MGTN: Motif-Aware Graph Transformer with Adaptive Redundancy Minimization for Node Importance Ranking.

Cangfeng Ding, Lu Cao, Lerong Ma, Zhaoyao Yan, Hao You

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Graph Transformer Networks for Predicting Anti-HIV Active Molecules.

Zhaoyao Yan, Cangfeng Ding, Lerong Ma, Lu Cao

Proceedings of the International Joint Conference on Neural Networks, 2024

2021

Link reciprocity in directed multiplex networks.

Cangfeng Ding, Jun Wang

Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

2018

Topologically biased random walk for diffusions on multiplex networks.

Cangfeng Ding, Kan Li

J. Comput. Sci., 2018

Centrality ranking in multiplex networks using topologically biased random walks.

Cangfeng Ding, Kan Li

Neurocomputing, 2018

Centrality Ranking via Topologically Biased Random Walks in Multiplex Networks.

Cangfeng Ding, Kan Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Least Cost Rumor Influence Minimization in Multiplex Social Networks.

Adil Imad Eddine Hosni, Kan Li, Cangfeng Ding, Sadique Ahmed

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Disease gene identification by walking on multilayer heterogeneous networks.

Cangfeng Ding, Kan Li

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2016

Estimating multilateral trade behaviors on the world trade web with limited information.

Cangfeng Ding, Kan Li

Neurocomputing, 2016