3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction
Rita T. Sousa, Heiko Paulheim
Diabetes is a worldwide health issue affecting millions of people. Machine learning methods have shown promising results in improving diabetes prediction, particularly through the…
cs.AI2023
Biomedical Knowledge Graph Embeddings with Negative Statements
Rita T. Sousa, Sara Silva, Heiko Paulheim +1
A knowledge graph is a powerful representation of real-world entities and their relations. The vast majority of these relations are defined as positive statements, but the importan…
cs.AI2023★ 3 cited
Benchmark datasets for biomedical knowledge graphs with negative statements
Rita T. Sousa, Sara Silva, Catia Pesquita
Knowledge graphs represent facts about real-world entities. Most of these facts are defined as positive statements. The negative statements are scarce but highly relevant under the…