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LM-SRPQ: Efficiently Answering Regular Path Query in Streaming Graphs

Summary: LM-SRPQ: hybrid persistent-RPQ for streaming graphs combining selective materialization of intermediate results with real-time traversal. Merges redundant storage and computation to cut memory and time; extensive experiments show clear gains over prior art. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13354
Venue
VLDB
Year
2024
Pagerank
4.5697385e-05
Overall Rank
8,170 | 43.17%
DOI
10.14778/3641204.3641214

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