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Found 3 papers, 1 papers with code
Investigating ADR mechanisms with knowledge graph mining and explainable AI
We propose to mine knowledge graphs for identifying biomolecular features that may enable reproducing automatically expert classifications that distinguish drug causative or not for a given type of ADR.
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study
Features mined from knowledge graphs are widely used within multiple knowledge discovery tasks such as classification or fact-checking.
Neighborhood-Based Label Propagation in Large Protein Graphs
Other important attributes, while present for proteins in Swiss-Prot, are often missing for proteins in TrEMBL, such as their function and cellular localization.
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