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Demonstration of SPARQLML: An Interfacing Language for Supporting Graph Machine Learning for RDF Graphs

Summary: KGNet: an RDF engine that embeds graph‑ML models as SPARQL user‑defined predicates (SPARQLML), exposing node classification and link prediction as native query operators. Includes a SPARQLML optimizer to select near‑optimal models and demos easy integration across real KGs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13243
Venue
VLDB
Year
2023
Pagerank
4.1945683e-05
Overall Rank
11,283 | 21.51%
DOI
10.14778/3611540.3611599

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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
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
2,659 Multi-Objective Parametric Query Optimization 2015 VLDB 8.3604734e-05
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