Exploring urban form through graph neural networks Graph theory has long provided the basis for the computational modelling of urban flows and networks and, thus, for the study of urban form. The ...

Compared with commonly-used point forecasting, probabilistic forecasting provides quantitative information on the uncertainty associated with wind power output. However, most studies focus on ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...