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I/O Efficient: Computing SCCs in Massive Graphs

Summary: I/O-efficient semi-external SCCs for graphs beyond memory. Uses a weak order to avoid DFS bias; offers two-phase SCC: tree construction, tree search; a single-phase variant with early acceptance/rejection and batch processing, reducing I/Os and CPU; validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4636
Venue
SIGMOD
Year
2013
Pagerank
4.1945683e-05
Overall Rank
12,041 | 16.24%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,346 I/O Efficient ECC Graph Decomposition via Graph Reduction 2016 VLDB 4.7556749e-05
9,483 I/O Efficient Label-Constrained Reachability Queries in Large Graphs 2024 VLDB 4.3341665e-05
9,626 Divide & Conquer: I/O Efficient Depth-First Search 2015 SIGMOD 4.314762e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
733 GRAIL: Scalable Reachability Index for Large Graphs 2010 VLDB 0.00017460741
2,938 Graph Homomorphism Revisited for Graph Matching 2010 VLDB 7.8524059e-05
3,677 Efficient External-Memory Bisimulation on DAGs 2012 SIGMOD 6.8533416e-05
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