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Michael Weyns
Michael Weyns
Ghent University
Theoretical computer science
Computer science
knowledge graph
Random walk
Node (networking)
5
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3
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0
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INK: knowledge graph embeddings for node classification.
2022
Data Min. Knowl. Discov.
Bram Steenwinckel
Gilles Vandewiele
Michael Weyns
Filip De Turck
Femke Ongenae
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Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs.
2021
Bram Steenwinckel
Gilles Vandewiele
Pieter Bonte
Michael Weyns
Heiko Paulheim
Petar Ristoski
Filip De Turck
Femke Ongenae
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Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
2020
DEXA | Database and Expert Systems Applications
Gilles Vandewiele
Bram Steenwinckel
Pieter Bonte
Michael Weyns
Heiko Paulheim
Petar Ristoski
Filip De Turck
Femke Ongenae
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Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
2020
arXiv: Learning
Gilles Vandewiele
Bram Steenwinckel
Pieter Bonte
Michael Weyns
Heiko Paulheim
Petar Ristoski
Filip De Turck
Femke Ongenae
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Conditional constraints for knowledge graph embeddings
2020
ESWC | Extended Semantic Web Conference
Michael Weyns
Pieter Bonte
Bram Steenwinckel
Filip De Turck
Femke Ongenae
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