2 papers
cs.LG2026
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction
Filip Kronström, Alexander H. Gower, Daniel Brunnsåker +2
We present a method for finding hierarchy-aware embeddings of knowledge graphs (KGs) using graph neural networks (GNNs) enriched with a semantic loss derived from underlying ontolo…
cs.LG2026
The Use of AI-Robotic Systems for Scientific Discovery
Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker +6
The process of developing theories and models and testing them with experiments is fundamental to the scientific method. Automating the entire scientific method then requires not o…