Graph theory and machine learning are revolutionary approaches to medical image analysis that leverage the structural nuances of medical data for better diagnostic accuracy. This research focuses on ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Welcome back to college football in 2025. If you can believe it, I’ve been writing this graphing column for coming into my 10th year now. Scream emoji. Old man emoji. Some of you will also remember ...