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Space Efficient Mining of Multigraph Streams

Summary: Space-efficient streaming algorithms for multigraph degree analysis (frequency moments, heavy hitters, range sums) that correct multiplicity bias from repeated edges. Novel cascaded summaries—nesting sketches, sampling, hashing and distinct counting—yield provable sublinear space bounds and strong empirical accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1360
Venue
PODS
Year
2005
Pagerank
0.00011828662
Overall Rank
1,472 | 89.77%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
595 Estimating PageRank on Graph Streams 2008 PODS 0.00019507721
2,266 Estimating the Confidence of Conditional Functional Dependencies 2009 SIGMOD 9.1540815e-05
2,437 gSketch: On Query Estimation in Graph Streams 2012 VLDB 8.8231651e-05
2,607 Graph Stream Summarization: From Big Bang to Big Crunch 2016 SIGMOD 8.4630211e-05
3,566 Fast Manhattan Sketches in Data Streams 2010 PODS 6.9629443e-05
4,898 On Sampling from Massive Graph Streams 2017 VLDB 5.8459467e-05
4,905 Randomized Error Removal for Online Spread Estimation in Data Streaming 2021 VLDB 5.8398332e-05
5,031 Event Pattern Matching over Graph Streams 2015 VLDB 5.7499783e-05
5,594 Time-Decaying Aggregates in Out-of-order Streams 2008 PODS 5.4192122e-05
5,782 Information Complexity: a Tutorial 2010 PODS 5.3292726e-05
5,968 Summarizing Static and Dynamic Big Graphs 2017 VLDB 5.2503253e-05
7,334 Streaming in a Connected World: Querying and Tracking Distributed Data Streams 2007 SIGMOD 4.7604215e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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