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Systems for Big-Graphs

Summary: Survey of systems for big-graphs, highlighting distributed, partitioned processing across clusters to scale graph data beyond main memory. Covers irregular access patterns, graph-algorithm features, partitioning and workload balancing, plus open challenges and future directions for data management. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10858
Venue
VLDB
Year
2014
Pagerank
5.8924342e-05
Overall Rank
4,830 | 66.40%
DOI
-

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