Fast and Unified Local Search for Random Walk Based K-Nearest-Neighbor Query in Large Graphs
Summary: FLoS provides exact top-k proximity via unified local search on random-walk measures. It uses no-local-optimum to derive monotone bounds that converge to exact results; generalizes across measures via cross-measure relations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yubao Wu
- 2. Ruoming Jin
- 3. Xiang Zhang
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,641 | Fast and Exact Top-k Search for Random Walk with Restart | 2012 | VLDB | 0.00011047924 |
| 2,098 | Efficient Ad-hoc Search for Personalized PageRank | 2013 | SIGMOD | 9.5480012e-05 |
| 2,930 | Assessing and Ranking Structural Correlations in Graphs | 2011 | SIGMOD | 7.8723983e-05 |
| 4,527 | On the Embeddability of Random Walk Distances | 2013 | VLDB | 6.1083926e-05 |
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| 1,285 | Neighborhood Based Fast Graph Search in Large Networks | 2011 | SIGMOD | 0.00012833377 |
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