The CTU Prague Relational Learning Repository

Abstract

The aim of the Prague Relational Learning Repository is to support machine learning research with multi-relational data. The repository currently contains 148 SQL databases hosted on a public MySQL server located at https://relational.fel.cvut.cz. The server is provided by the Czech Technical University (CTU). A searchable meta-database provides metadata (e.g., the number of tables in the database, the number of rows and columns in the tables, the number of self-relationships).

9 pages

Cited by in corpus (6)

• Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications
• Hypergraph Pre-training with Graph Neural Networks
• CoCon: A Data Set on Combined Contextualized Research Artifact Use
• A Layered Aggregate Engine for Analytics Workloads
• Decoupling feature propagation from the design of graph auto-encoders
• Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction