Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion
In complex networks, the identification of critical nodes is vital for optimizing information dissemination. Given the significant role of these nodes in network structures, researchers have proposed various identification methods. In recent years, deep learning has emerged as a promising approach f...
Saved in:
| Main Authors: | Tingshuai Jiang, Yirun Ruan, Tianyuan Yu, Liang Bai, Yifei Yuan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/9/5/129 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LCD: IDENTIFYING INFLUENTIAL NODES IN COMPLEX NETWORKS WITH LAYERED CLUSTERING AND DEGREE
by: Abdulhakeem Othman Mohammed
Published: (2025-04-01) -
Influential nodes identification for complex networks based on multi-feature fusion
by: Shaobao Li, et al.
Published: (2025-04-01) -
Identifying influential nodes in weighted complex networks by considering the importance of shortest paths
by: Xiaohong Wang, et al.
Published: (2025-04-01) -
Identifying Influential Nodes Based on Evidence Theory in Complex Network
by: Fu Tan, et al.
Published: (2025-04-01) -
A novel voting measure for identifying influential nodes in complex networks based on local structure
by: Haoyang Li, et al.
Published: (2025-01-01)