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- research-articleMay 2024
Efficient and Provable Effective Resistance Computation on Large Graphs: An Index-based Approach
Proceedings of the ACM on Management of Data (PACMMOD), Volume 2, Issue 3Article No.: 133, Pages 1–27https://doi.org/10.1145/3654936Effective resistance (ER) is a fundamental metric for measuring node similarities in a graph, and it finds applications in various domains including graph clustering, recommendation systems, link prediction, and graph neural networks. The state-of-the-...
- research-articleMay 2023
Efficient Resistance Distance Computation: The Power of Landmark-based Approaches
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 1Article No.: 68, Pages 1–27https://doi.org/10.1145/3588922Resistance distance is a fundamental metric to measure the similarity between two nodes in graphs which has been widely used in many real-world applications. In this paper, we study two problems on approximately computing resistance distance: (i) single-...