Link Prediction Model for Opportunistic Networks Based on Feature Fusion
Link prediction is a hot issue in the research of network evolution. The existing methods employ a stacked structure, which feeds captured topology information into a time series model. However, the structure introduces network noise that affects the accurate extraction of temporal features and redu...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9833495/ |