Link Prediction example (JupyterNotebook)
Data and Resources
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Symbolic Learning and Knowledge Graph Embeddingsipynb
Pattern Detection, Analysis and Explanation over Lung Cancer Knowledge Graph
Additional Info
| Field | Value |
|---|---|
| Created | October 30, 2025 |
| Last update | October 30, 2025 |
| License | cc-by: Creative Commons Attribution |
| Domain / Use Case | Medicine |
| Data Sources / Origin | Clinical cata |
| Alignment with THIRDWAVE Objectives (O1–O4) | O3 Application |
| Relevant Sustainable Development Goals (SDGs) | SDG 3 Health |
| Knowledge Representation Type | RDF Triples |
| Modality | Multimodal |
| Volume / Scale | 20K |
| Growth Trend | Static |
| Update Frequency | Ad-hoc |
| Level of Maturity | Experimental |
| Ethical / Legal Basis for Data Use | Consent-based |
| Access Control & Authentication | Open |
| Author | Ariam Rivas
|
| More Authors |
|
| Author Email | Ariam Rivas |
| Maintainer | Ariam Rivas |
| Maintainer Email | Ariam Rivas |
| Associated Models | TransE, TransH, SemEP |
| Model Type | Embedding models, Clustering technics |
| Evaluation Metrics / KPIs | Hit@1, MRR, Coverage |
| Explainability Features | Logical rules |
| Link to Documentation | https://github.com/SDM-TIB/SymbolicLearning_KGE |
| Language | English |