2 papers
q-bio.BM2025
STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
Mehmet Efe Akça, Gökçe Uludoğan, Arzucan Özgür +1
Accurate prediction of protein function is essential for elucidating molecular mechanisms and advancing biological and therapeutic discovery. Yet experimental annotation lags far b…
cs.LG2025
Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
Tuğrul Hasan Karabulut, İnci M. Baytaş
Over-squashing is a challenge in training graph neural networks for tasks involving long-range dependencies. In such tasks, a GNN's receptive field should be large enough to enable…