rui9812/induction_experiments

Data sets used in the paper: On Inductive Abilities of Latent Factor Models for Relational Learning.

Relation properties and families data sets

This repository contains the data for the experiments used in the paper: On Inductive Abilities of Latent Factor Models for Relational Learning, Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard.

Relation properties data

In the folder relation_properties are the generated matrices for each of the 13 combination of interest between reflexivity, symmetry and transitivity, as described in the paper. Matrices are saved in the .mat format under the variable name y. They can be loaded from matlab or from python with the scipy.io.loadmat function. Ones represent positive samples, -1 negatives, and 0 missings (used for diagonal in the non-[ir-]reflexive cases).

Families data

The families data is represented in text files in the folder families, following a binary predicate syntax: [!]relation(subject_entity,object_entity). Leading ! indicates a negative fact. Families are numbered from 1 to 5, and the set of facts of each family is split between the four main relations (father, mother, daughter, son) in files suffixed by _4main.db, and the 13 other relations in files suffixed by _13other.db, as described in the paper.