In this example, we attempt to classify documents in a citation network into one of several categories.
It contains informations on the categories of some documents as well as links between those documents. The links are represented as only one predicate, but can represent several relationships between documents such as:
- Hyperlinks
- Citations
- Shared Authorship
This example is a version of one of the experiments from Bach et al.'s core PSL paper: "Hinge-Loss Markov Random Fields and Probabilistic Soft Logic":
@article{bach:jmlr17,
Author = {Bach, Stephen H. and Broecheler, Matthias and Huang, Bert and Getoor, Lise},
Journal = {Journal of Machine Learning Research (JMLR)},
Title = {Hinge-Loss {M}arkov Random Fields and Probabilistic Soft Logic},
Year = {2017}
}
cli
collective classification
evaluation
inference
real data
weight learning