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Is there data leakage in protein-protein interaction prediction using knowledge graphs?

, , and . ISWC (Posters/Demos/Industry), volume 2980 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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Biomedical Knowledge Graph Embeddings with Negative Statements., , , and . ISWC, volume 14265 of Lecture Notes in Computer Science, page 428-446. Springer, (2023)Evolving Meaning for Supervised Learning in Complex Biomedical Domains Using Knowledge Graphs.. ESWC (Satellite Events), volume 12124 of Lecture Notes in Computer Science, page 280-290. Springer, (2020)Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements., , and . SeWeBMeDA@ESWC, volume 3466 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)The Supervised Semantic Similarity Toolkit., , and . ESWC (Satellite Events), volume 13384 of Lecture Notes in Computer Science, page 42-46. Springer, (2022)Explainable Representations for Relation Prediction in Knowledge Graphs., , and . KR, page 635-646. (2023)Is there data leakage in protein-protein interaction prediction using knowledge graphs?, , and . ISWC (Posters/Demos/Industry), volume 2980 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)A Collection of Benchmark Data Sets for Knowledge Graph-Based Similarity in the Biomedical Domain., , , and . ESWC (Satellite Events), volume 12124 of Lecture Notes in Computer Science, page 50-55. Springer, (2020)Supervised Biomedical Semantic Similarity., , and . IEEE Access, (2023)Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity., , , , , , , , , and 1 other author(s). CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1256-1268. CEUR-WS.org, (2022)Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies., , and . CoRR, (2021)