.png){kind=icon}
.png){kind=icon}
Return
Structure-Aware Consistent Graph Autoencoder for Generative Content Review
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2026.134261.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A graph link prediction framework is developed for generative content review.
• Adaptive view augmentation preserves core connections in diverse graph structures.
• Cross-view consistency learning encourages consistent topology predictions.
Keywords:
Generative content review
Graph neural network
Graph self-supervised learning
Link prediction
Cross-view consistency learning
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W