Academic
Academic
Home
Posts
Projects
Talks
Publications
Contact
Light
Dark
Automatic
Conditional constraints for knowledge graph embeddings
Michael Weyns
,
Pieter Bonte
,
Bram Steenwinckel
,
Filip De Turck
,
Femke Ongenae
January 2020
Cite
Type
Conference paper
Publication
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020)
"Embeddings"
"Knowledge Graph Embeddings"
Related
Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs
Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design
Bridging the gap between expressivity and efficiency in stream reasoning : a structural caching approach for IoT streams
Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach
Towards an Evaluation Framework for Expressive Stream Reasoning
Cite
×