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On Querying Historical Evolving Graph Sequences

Summary: Introduces historical evolving graph sequences (EGS) and the FVF framework for efficient EGS query processing. Leverages cross-graph redundancy to compress and speed analytics on EGS; experiments on real and synthetic data show strong performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10302
Venue
VLDB
Year
2011
Pagerank
6.8913642e-05
Overall Rank
3,639 | 74.69%
DOI
-

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Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
171 Algorithmics and Applications of Tree and Graph Searching 2002 PODS 0.00038830709
279 3-HOP: A High-Compression Indexing Scheme for Reachability Query 2009 SIGMOD 0.00029113513
376 TEDI: Efficient Shortest Path Query Answering on Graphs 2010 SIGMOD 0.00025097452
506 On Graph Query Optimization in Large Networks 2010 VLDB 0.00021475362
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