Substructure counting graph kernels for machine learning from RDF data

By Gerben de Vries, S. D. de Rooij. 2015

56 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. William L. Hamilton
2. Ivan Titov
3. Yoshua Bengio
4. Thomas Kipf
5. Michael Sejr Schlichtkrull
6. Nicola De Cao
7. Max Welling
8. Rianne van den Berg

Citations in the corpus

• Modeling Relational Data with Graph Convolutional Networks (2017, methodology): “We consider two fundamental SRL tasks: link prediction (recovery of missing triples) and entity classification (assigning types or categorical properties to entities).”
• RDF2Vec: RDF Graph Embeddings for Data Mining (2016, methodology): “• The Weisfeiler-Lehman (WL) graph kernel for RDF [34] counts full sub-”