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Indexed Fast Network Proximity Querying

Summary: I-Chopper: scalable index for random-walk proximity on billion-node graphs, marrying graph-partitioning with fast iterative Chebyshev-based processing. Hybrid inversion-like speed with compact storage improves convergence, reduces index size for top-k proximity queries on real networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11788
Venue
VLDB
Year
2018
Pagerank
4.9041884e-05
Overall Rank
6,865 | 52.25%
DOI
10.14778/3204028.3204029

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