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Research Output 2014 2018

  • 5 Conference contribution
  • 1 Abstract
  • 1 Article
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Conference contribution
2018

Modeling Relational Data with Graph Convolutional Networks

Schlichtkrull, M., Kipf, T. N., Bloem, P., van den Berg, R., Titov, I. & Welling, M., 2018, The Semantic Web - 15th International Conference, ESWC 2018, Proceedings. Springer/Verlag, p. 593-607 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10843 LNCS)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Graph in graph theory
Modeling
Recovery
Information retrieval
Factorization
2017

The MIDI Linked Data Cloud

Merono Penuela, A., Hoekstra, R. J., Gangemi, A., Bloem, P., de Valk, R., Stringer, B., Janssen, B., de Boer, V., Alik, A., Schlobach, S. & Page, K., 2017, The Semantic Web: Proceedings of ISWC2017. (Lecture Notes in Computer Science; vol. 10588)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

2016

Are names meaningful? Quantifying social meaning on the semantic web

de Rooij, S., Beek, W., Bloem, P., van Harmelen, F. & Schlobach, S., 2016, The Semantic Web - 15th International Semantic Web Conference, ISWC 2016, Proceedings. Springer/Verlag, Vol. 9981 LNCS, p. 184-199 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9981 LNCS)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Semantic Web
Statistical Model
Quantify
Information Content
Meaning
2015

Two Problems for Sophistication

Bloem, P., de Rooij, S. & Adriaans, P., 2015, Algorithmic Learning Theory - 26th International Conference, ALT 2015. Springer/Verlag, Vol. 9355, p. 379-394 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9355)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Kolmogorov Complexity
Complexity Measure
Structure-function
Quantify
Compression
2014

Simplifying RDF Data for Graph-Based Machine Learning.

Bloem, P., Wibisono, A. & de Vries, G. K. D., 2014, KNOW@ LOD.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Learning systems
Data mining
Semantics
Processing
Experiments