Divide & Conquer: I/O Efficient Depth-First Search
Summary: IO-efficient semi-external DFS on disk graphs via divide-and-conquer: split G into subgraphs, compute local DFS trees in memory, then merge to a global DFS-Tree. Proposes Divide-Star and Divide-TD schemes with a merge, validates correctness, and demonstrates I/O gains on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhiwei Zhang
- 2. Jeffrey Xu Yu
- 3. Lu Qin
- 4. Zechao Shang
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 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 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,041 | I/O Efficient: Computing SCCs in Massive Graphs | 2013 | SIGMOD | 4.1945683e-05 |
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