A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web

By Petar Ristoski, Gerben de Vries, Heiko Paulheim. 2016

114 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

How researchers see this paper

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

In Artificial Intelligence

1. Partha P. Talukdar
2. Ivan Titov
3. Soumya Sanyal
4. Thomas Kipf
5. William L. Hamilton
6. Jure Leskovec
7. Max Welling
8. Michael Sejr Schlichtkrull

In Management Science and Operations Research

1. Ivan Titov
2. Max Welling
3. Heiko Paulheim
4. Petar Ristoski
5. Partha P. Talukdar
6. Soumya Sanyal
7. Shikhar Vashishth
8. Thomas Kipf

Citations in the corpus

• Modeling Relational Data with Graph Convolutional Networks (2017, methodology): “Unless otherwise noted, we divide the labeled part of the dataset according to 10-fold stratified cross-validation or according to the official train/test benchmark splits from [30].”
• RDF2Vec: RDF Graph Embeddings for Data Mining (2016, background): “evaluation datasets and how the datasets were generated are presented in [28].”
• Composition-based Multi-Relational Graph Convolutional Networks (2019, methodology): “For node classification task, we report accuracy on test split provided by Ristoski et al. (2016), whereas for graph classification, following Yanardag & Vishwanathan (2015) and Xu et al.”