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Toward a Distance Oracle for Billion-Node Graphs

Summary: Proposes scalable distance oracles for graphs with billions of nodes using sketch-based encodings. Optimizes landmark selection, distributed BFS, and answer generation to balance space, speed, and accuracy; validated on real and synthetic networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10938
Venue
VLDB
Year
2014
Pagerank
4.7932355e-05
Overall Rank
7,236 | 49.67%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019005923
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