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An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs

Summary: Unified re-implementation and benchmark of six s-t reliability estimators on uncertain graphs, using consistent datasets, metrics, and workloads. Surprising results: many later algorithms are slower, less accurate, and more memory-hungry than early methods; recommendations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12011
Venue
VLDB
Year
2019
Pagerank
5.170101e-05
Overall Rank
6,172 | 57.07%
DOI
10.14778/3324301.3324304

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