Ranking Indicator Discovery from Very Large Knowledge Graphs

Summary: Mine counting-graph SPARQL patterns on large KGs to discover ranking indicators that induce strict total orders. RIPM prunes search and ranks candidates by coverage & Gini to extract interpretable indicators validated by baselines and a user study. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13789
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,538 | 26.69%
DOI: 10.14778/3717755.3717775

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Rank	Citing Paper	Year	Venue	Pagerank

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

Rank	Cited Paper	Year	Venue	Pagerank
4,630	Knowledge Graphs 2021: A Data Odyssey	2021	VLDB	6.0348379e-05
5,826	Why Not Yet: Fixing a Top-k Ranking that Is Not Fair to Individuals	2023	VLDB	5.3124507e-05
6,906	Explaining Monotonic Ranking Functions	2021	VLDB	4.8925595e-05

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