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DiscoPG: Property Graph Schema Discovery and Exploration

Summary: DiscoPG discovers property graph schemas via clustering with Gaussian Mixture Models on labels/properties. First system for property-graph schema discovery; supports static/dynamic graphs, dashboards for evolving schemas and clustering quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13043
Venue
VLDB
Year
2022
Pagerank
5.7194994e-05
Overall Rank
7,041 | 51.70%
DOI
10.14778/3554821.3554867

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bonifati_vldb22,
        title = {{DiscoPG: Property Graph Schema Discovery and Exploration}},
        author = {Bonifati, Angela and Dumbrava, Stefania and Martinez, Emile and Ghasemi, Fatemeh and Jaffré, Malo and Luton, Pacôme and Pickles, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3654--3657},
        doi = {10.14778/3554821.3554867},
        url = {https://doi.org/10.14778/3554821.3554867},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

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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
264 The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing 2018 VLDB 0.00022980015
426 The LDBC Social Network Benchmark: Interactive Workload 2015 SIGMOD 0.00018692185
7,234 DBLOC: Density Based Clustering over LOCation Based Services 2018 SIGMOD 5.6655859e-05
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