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12/10/2020
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
Neural embedding-based machine learning models have shown promise for pr...
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11/16/2020
Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives?
Link prediction – the process of uncovering missing links in a complex n...
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05/15/2020
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
Recently, link prediction algorithms based on neural embeddings have gai...
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02/25/2020
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules
Large ontologies still pose serious challenges to state-of-the-art ontol...
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12/10/2019
OpenBioLink: A benchmarking framework for large-scale biomedical link prediction
SUMMARY: Recently, novel machine-learning algorithms have shown potentia...
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12/10/2019
OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction
SUMMARY: Recently, novel machine-learning algorithms have shown potentia...
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07/27/2018
Global and local evaluation of link prediction tasks with neural embeddings
We focus our attention on the link prediction problem for knowledge grap...
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05/31/2018
Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings
Large ontologies still pose serious challenges to state-of-the-art ontol...
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04/30/2018