Effective resistance (ER) is a fundamental metric for measuring node similarities in a graph,
and it finds applications in various domains including graph clustering, recommendation …

In recent years, graph neural networks (GNNs) have emerged as a potent tool for learning
on graph-structured data and won fruitful successes in varied fields. The majority of GNNs …

For an undirected graph, its Kemeny's constant is defined as the mean hitting time of random
walks from one vertex to another chosen randomly according to the stationary distribution …

Spanning Centrality is a measure used in network analysis to determine the importance of
an edge in a graph based on its contribution to the connectivity of the entire network …