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Efficient Index Maintenance for Effective Resistance Computation on Evolving Graphs

Summary: Introduces an index for effective resistance on evolving graphs based on preserving samples of random walks and loop-erased walks instead of matrices. Edge updates map to landmark-node updates; two update algorithms (random-walk and loop-erased-walk) support cycle-decomposition to update samples in O(1) per edge, yielding up to 100x speedups on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7033
Venue
SIGMOD
Year
2025
Pagerank
4.3109001e-05
Overall Rank
9,642 | 32.93%
DOI
10.1145/3709686

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