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HERO: A Hierarchical Set Partitioning and Join Framework for Speeding up the Set Intersection Over Graphs

Summary: HERO: hierarchical set-partitioning for graph set intersection, with a SIB-tree bitmap index; SIMD-agnostic and orthogonal to merge-based methods. Decomposes into bitmap-AND subtasks; NP-hardness proven; a heuristic tackles it with large speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6838
Venue
SIGMOD
Year
2024
Pagerank
4.3842827e-05
Overall Rank
9,173 | 36.19%
DOI
10.1145/3639284

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,267 Revisiting the Design of In-Memory Dynamic Graph Storage 2025 SIGMOD 4.545679e-05
10,688 RapidStore: An Efficient Dynamic Graph Storage System for Concurrent Queries 2025 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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