Abstract: Graph convolutional networks (GCN) have recently been studied to exploit the graph topology of the human body for skeleton-based action recognition. However, most of these methods ...

Pre-training Graph Model Phase. In the pre-training phase, we employ link prediction as the self-supervised task for pre-training the graph model. Producer Phase. In the Producer phase, we employ LLM ...

The question is how well the song can sustain its first-week success, and early signs look good: It's the week's most-streamed track, and it debuts at No. 19 on the Radio Songs chart — the exact ...

INTRODUCTION: With the ease provided by current computational programs, medical and scientific journals use bar graphs to describe continuous data. METHODS: This manuscript discusses the inadequacy of ...

Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...