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.

We propose a simple yet effective framework that integrates graph similarity estimation with downstream tasks within a unified optimization framework.