Abstract: Traditional recommendation systems primarily rely on collaborative filtering, which struggles to effectively capture the dynamic changes in user interests. Sequential recommendation ...

Abstract: Graph Convolutional Networks (GCNs) have long set the state-of-the-art in skeleton-based action recognition, leveraging their ability to unravel the complex dynamics of human joint topology ...