On Dense Pattern Mining in Graph Streams [Extended Abstract]
Summary: Model for dense pattern mining in massive graph streams using probabilistic algorithms to identify and summarize dense subgraphs. Shows probabilistic summarization enables efficient downstream graph-pattern mining on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Charu C. Aggarwal
- 2. Yao Li
- 3. Philip S. Yu
- 4. Ruoming Jin
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,437 | gSketch: On Query Estimation in Graph Streams | 2012 | VLDB | 8.8231651e-05 |
| 3,367 | Online Density Bursting Subgraph Detection from Temporal Graphs | 2019 | VLDB | 7.1725806e-05 |
| 4,949 | Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs | 2013 | VLDB | 5.8113132e-05 |
| 6,864 | Triangle and Four Cycle Counting in the Data Stream Model | 2020 | PODS | 4.9050236e-05 |
| 11,039 | Efficient Discovery of Significant Patterns with Few-Shot Resampling | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065491112 |
| 388 | Graph Summarization with Bounded Error | 2008 | SIGMOD | 0.00024662272 |
| 4,449 | False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams | 2004 | VLDB | 6.1780147e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 57 | Discovering Large Dense Subgraphs in Massive Graphs | 2005 | VLDB | 0.00065491112 |
| 5,031 | Event Pattern Matching over Graph Streams | 2015 | VLDB | 5.7499783e-05 |
| 7,308 | Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments | 2012 | VLDB | 4.7672834e-05 |
| 5,159 | Towards Proximity Pattern Mining in Large Graphs | 2010 | SIGMOD | 5.6587631e-05 |
| 5,436 | Output Space Sampling for Graph Patterns | 2009 | VLDB | 5.5042223e-05 |
| 644 | Densest Subgraph in Streaming and MapReduce | 2012 | VLDB | 0.00018748988 |
| 4,330 | Mining Top-K Large Structural Patterns in a Massive Network | 2011 | VLDB | 6.2839861e-05 |
| 1,472 | Space Efficient Mining of Multigraph Streams | 2005 | PODS | 0.00011828662 |
| 4,716 | Mining Graph Patterns Efficiently via Randomized Summaries | 2009 | VLDB | 5.9755569e-05 |
| 7,614 | Mining Attribute-structure Correlated Patterns in Large Attributed Graphs | 2012 | VLDB | 4.6947636e-05 |