Database Paper Browser

Back to papers

Maverick: A System for Discovering Exceptional Facts from Knowledge Graphs

Summary: Maverick employs a beam-search framework to discover exceptional facts about entities in knowledge graphs. Facts are context-subspace pairs (attributes, graph-context) with an end-to-end portal and a shared cache for cross-entity reuse, plus natural-language explanations and charts. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11678
Venue
VLDB
Year
2018
Pagerank
4.3895822e-05
Overall Rank
9,133 | 36.47%
DOI
10.14778/3229863.3236228

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,648 User Guidance for Efficient Fact Checking 2019 VLDB 4.6889787e-05
Previous Page 1 / 1 Next

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
4,157 Computational Journalism: A Call to Arms to Database Researchers 2011 CIDR 6.3997218e-05
7,094 Data In, Fact Out: Automated Monitoring of Facts by FactWatcher 2014 VLDB 4.8366704e-05
7,586 Maverick: Discovering Exceptional Facts from Knowledge Graphs 2018 SIGMOD 4.7036704e-05
Previous Page 1 / 1 Next

Semantically Similar Papers