Overview
RelationalDatasets.jl: A library to load benchmark datasets for relational learning—but in Julia.
- Source Code: https://github.com/srlearn/RelationalDatasets.jl
- Documentation (Latest): https://srlearn.github.io/RelationalDatasets.jl/dev/
Basic Usage
The main use is loading training and test folds. For example, we could load fold 2 of webkb:
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using RelationalDatasets
train, test = load("webkb", fold=2)
It also tries to help bridge the gap with vector-structured data by providing methods to convert standard datasets:
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using RelationalDatasets
data, modes = RelationalDatasets.from_vector(
[0 1 1; 1 0 2; 2 2 0],
[0, 0, 1],
)
Installation
The latest stable version can be installed with Pkg:
] add RelationalDatasets