Efficient and Provable Effective Resistance Computation on Large Graphs: an Index-based Approach
Summary: Index-based effective-resistance computation via multiple landmarks: precompute compact Schur-complement matrices over a landmark set, then answer single-pair/source queries with Vl-absorbed random-walk push/sampling. Provable accuracy/performance guarantees; up to 10^4× speedup on large graphs. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Meihao Liao (Beijing Institute of Technology)
- 2. Junjie Zhou (Beijing Institute of Technology)
- 3. Rong-Hua Li (Beijing Institute of Technology)
- 4. Qiangqiang Dai (Beijing Institute of Technology)
- 5. Hongyang Chen (Zhejiang Lab)
- 6. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@inproceedings{liao_sigmod24,
title = {{Efficient and Provable Effective Resistance Computation on Large Graphs: an Index-based Approach}},
author = {Liao, Meihao and Zhou, Junjie and Li, Rong-Hua and Dai, Qiangqiang and Chen, Hongyang and Wang, Guoren},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654936},
url = {https://dl.acm.org/doi/10.1145/3654936},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,769 | Efficient Index Maintenance for Effective Resistance Computation on Evolving Graphs | 2025 | SIGMOD | 5.2209769e-05 |
| 10,240 | Fast Estimation of Pairwise Biharmonic Distance on Graphs | 2026 | SIGMOD | 5.093636e-05 |
| 10,366 | Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: a Labelling Approach | 2026 | SIGMOD | 5.093636e-05 |
| 10,560 | Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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