Yanxian Bi
Biographic Data
| ID | 10054331 |
|---|---|
| NAME | Yanxian Bi |
| GIVEN NAMES | Yanxian |
| FAMILY NAME | Bi |
| SIGNATURE | BI Y |
| AFFILIATIONS | China Academy of Information and Communications Technology |
| ORCID | 0009-0007-0674-9767 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unified Network Embedding via Mutual Fusion of Communities and Roles
Most network embedding (NE) methods are either based on the proximity for community-guided tasks or on the structural similarity for role-oriented tasks. While being prevalent and effective, there still exists some potential issues that need further attention: 1) community and role are always regarded as orthogonal problems. They have rarely been combined to model the latent structures within the complex network. However, the generation of the ne…
No prominent works on this page.
Unified Network Embedding via Mutual Fusion of Communities and Roles
Most network embedding (NE) methods are either based on the proximity for community-guided tasks or on the structural similarity for role-oriented tasks. While being prevalent and effective, there still exists some potential issues that need further attention: 1) community and role are always regarded as orthogonal problems. They have rarely been combined to model the latent structures within the complex network. However, the generation of the ne…
Advanced Graph Neural Networks (1 works) · Complex Network Analysis Techniques (1 works) · Embedding (1 works) · Fusion (1 works) · Intelligent Network (1 works) · Opportunistic and Delay-Tolerant Networks (1 works) · Sensor Fusion (1 works)