named spatial-temporal–geometric graph convolutional network (STG-GCN). We leverage the inherent connections in multiview sequences of 2-D poses, representing them as a spatial-temporal–geometric ...

Abstract: The recommendation based on dynamic graph sequences aims to reveal complex evolutionary patterns in user-item interactions. Existing methods make predictions by encoding attribute contents ...

They provide a versatile framework for solving equations, visualising data, and making informed decisions. This resource revises linear functions, graphs and equations and within linear functions, ...