Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...

Uses data from multiple countries and polynomial regression algrothims to predict carbon emmisions in 2050. Also creates a 3D graph to vizualize the last 20 years of Canada's GDP, and Canda's Carbon ...

Abstract: 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 ...

💞 featureFeature request, pull request that fullfill a new feature.Feature request, pull request that fullfill a new feature. Current behavior: After enabling the Knowledge Graph and Raptor features, ...

Introduction Trastuzumab is associated with cardiotoxicity, necessitating interval cardiac monitoring. Our centre utilises cardiac magnetic resonance (CMR) measured ejection fraction (EF) for serial ...

Department of Optical and Biophysical Systems, Institute of Physics of the Czech Academy of Sciences, Prague 18221, Czech Republic ...