PAnG - Finding Patterns in Annotation Graphs

Summary: PAnG discovers interpretable annotation-patterns by combining graph summarization with dense-subgraph mining. Elements of a graph summary correspond to patterns; visualizations explain knowledge and support hypothesis generation and exploration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4642
Venue: SIGMOD
Year: 2012
Pagerank: 5.5181056e-05
Overall Rank: 7,933 | 45.58%
DOI: 10.1145/2213836.2213930

Incoming Non-self Citations Over Time

Authors

1. Philip Anderson (University of Maryland)
2. Andreas Thor (University of Maryland)
3. Joseph Benik (University of Maryland)
4. Louiqa Raschid (University of Maryland)
5. Maria Esther Vidal (Simon Bolivar University)

BibTeX Citation

@inproceedings{anderson_sigmod12,
        title = {{PAnG - Finding Patterns in Annotation Graphs}},
        author = {Anderson, Philip and Thor, Andreas and Benik, Joseph and Raschid, Louiqa and Vidal, Maria Esther},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213930},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213930},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
12,158	ALID: Scalable Dominant Cluster Detection	2015	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
548	Graph Summarization with Bounded Error	2008	SIGMOD	0.00016694936

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