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On Reporting Durable Patterns in Temporal Proximity Graphs

Summary: Near-linear-time algorithms with provable guarantees to report approximately durable subgraph patterns (e.g., triangles, paths) in temporal proximity graphs using an implicit spatial-embedding + time-interval node representation. Also supports interactive durability-threshold queries via incremental updates computed in time near-linear in the size of result changes, leveraging proximity structure to outperform prior super-linear, non-guaranteed methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1912
Venue
PODS
Year
2024
Pagerank
4.4703012e-05
Overall Rank
8,677 | 39.64%
DOI
10.1145/3651144

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8,966 Output-sensitive Conjunctive Query Evaluation 2024 PODS 4.4193184e-05
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