Adaptive virtual anchors for efficient and stable clustering over large multi-view attributed graphs

Key Points

• Clustering efficiency improves with adaptive virtual anchors, leading to more stable outcomes in large datasets.
• Adaptive virtual anchors contribute to the performance of clustering algorithms significantly.
• Assessment of clustering methods across diverse multi-view attributed graphs indicates clear advantages in data handling.
• The findings may suggest new pathways for analysis in complex data systems, but further validation is necessary.