Assessing and Ranking Structural Correlations in Graphs
Summary: gScore: a hitting-time based measure to assess and rank structural correlations of events in heterogeneous graphs. Scalable with sampling/approximation; validated on DBLP and TaoBao, revealing events strongly aligned with the network structure. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziyu Guan
- 2. Jian Wu
- 3. Qing Zhang
- 4. Ambuj Singh
- 5. Xifeng Yan
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,907 | Fast and Unified Local Search for Random Walk Based K-Nearest-Neighbor Query in Large Graphs | 2014 | SIGMOD | 0.00010130702 |
| 3,878 | Data Canopy: Accelerating Exploratory Statistical Analysis | 2017 | SIGMOD | 6.6669911e-05 |
| 4,975 | Challenging the Long Tail Recommendation | 2012 | VLDB | 5.7854712e-05 |
| 7,615 | Mining Attribute-structure Correlated Patterns in Large Attributed Graphs | 2012 | VLDB | 4.6902598e-05 |
| 8,209 | Mining Top-k Pairs of Correlated Subgraphs in a Large Network | 2020 | VLDB | 4.5537353e-05 |
| 9,805 | Automating Incremental Graph Processing with Flexible Memoization | 2021 | VLDB | 4.2766788e-05 |
| 12,139 | Measuring Two-Event Structural Correlations on Graphs | 2012 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010863639 |
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065421423 |
| 313 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB | 0.0002809849 |
| 404 | Mining Generalized Association Rules | 1995 | VLDB | 0.00024159651 |
| 4,827 | An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets | 2009 | PODS | 5.8892254e-05 |
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