To this end, we propose a novel self-supervised early 3D behavior prediction frame-work that learns graph structures on hyperbolic manifold. Firstly, we employ the sequence construction of ...

Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, P.R. China Supported by the Hong Kong Research Grants Council under the CERG Grant no. 9040579.

HOPE consists of four steps to predict microbial functions, including data input, microbial co-occurrence network construction, graph embedding generation, and function prediction. The input are 16s ...