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Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Summary: Systematic re-evaluation of knowledge graph completion embeddings after removing leakage from standard benchmarks (FB15k/WN18) and problematic Cartesian-product/reverse relations. Results show substantially lower accuracy than reported, challenging the effectiveness of current embedding approaches and urging re-investigation of viable methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5812
Venue
SIGMOD
Year
2020
Pagerank
9.9175408e-05
Overall Rank
1,966 | 86.33%
DOI
10.1145/3318464.3380599

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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
62 Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge 2008 SIGMOD 0.0006429466
804 YAGO3: A Knowledge Base from Multilingual Wikipedias 2015 CIDR 0.00016463579
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