Our meta-analysis reveals vision models' underappreciated potential for graph understanding, offering insights for developing more effective graph learning systems based on global structural perception.

TopER is a low-dimensional, interpretable graph embedding method based on topological evolution rates, enabling intuitive visualization and strong performance on clustering and classification tasks.