SemanticGAN

An experimental research system for knowledge graph completion and RDF triple generation on the DBLP Computer Science Bibliography using a Wasserstein GAN
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Model Metrics

Metrics computed from the most recent training run

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Novelty Score
Not present in training data
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Uniqueness Score
Distinct generated triples
--%
Train Overlap
Exact matches with training triples
--%
Relation Diversity
Used relation types vs schema
--%
Schema Validity
Valid under the schema
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Generated RDF Candidates
Produced in the latest run

Relation Distribution

Distribution of generated triples across relation types

Average embedding distance: --

Generated RDF Candidates

The following triples were generated by the model. See SemanticGAN/generated.txt for the full raw dataset.

Subject Predicate Object Score Ontology
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Training Loss

Training loss across recent epochs

Training loss curve

Latent Space Manifold

t-SNE projection of learned entity embeddings in 2D