Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs
Summary: Introduces Lanczos Iteration and Lanczos Push for resistance distances, reducing Laplacian-condition-number dependence. The global method runs in Õ(√κm), while the local method is graph-size independent (Õ(κ^2.75)), with superior empirical accuracy and speed. (summarized by gpt-5.6-luna on Jul 09 2026)
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Authors
- 1. Yichun Yang
- 2. Longlong Lin
- 3. Meihao Liao
- 4. Rong-Hua Li
- 5. Guoren Wang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,522 | Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push | 2021 | SIGMOD | 8.6029608e-05 |
| 5,000 | Density-based Place Clustering in Geo-Social Networks | 2014 | SIGMOD | 5.7636502e-05 |
| 5,237 | Edge-based Local Push for Personalized PageRank | 2022 | VLDB | 5.6071758e-05 |
| 5,713 | Efficient Estimation of Heat Kernel PageRank for Local Clustering | 2019 | SIGMOD | 5.3595796e-05 |
| 5,936 | Efficient Estimation of Pairwise Effective Resistance | 2023 | SIGMOD | 5.2611905e-05 |
| 9,252 | Efficient Resistance Distance Computation: the Power of Landmark-based Approaches | 2023 | SIGMOD | 4.3648789e-05 |
| 9,641 | Efficient Index Maintenance for Effective Resistance Computation on Evolving Graphs | 2025 | SIGMOD | 4.3067693e-05 |
| 10,075 | Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: a Labelling Approach | 2026 | SIGMOD | 4.1905499e-05 |
| 10,960 | Efficient and Provable Effective Resistance Computation on Large Graphs: an Index-based Approach | 2024 | SIGMOD | 4.1905499e-05 |
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