a graph diffusion convolution is employed to reconstruct the text heterogeneous graph. Subsequently, a heterogeneous graph convolutional network and a multilayer perceptron are used to complete the ...

Abstract: This paper investigates traffic data cognitive modelling problem in real traffic scene by fully utilizing multiscale spatio-temporal dependence between multiple traffic nodes, along with a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. A seismic shift is underway in consumer health, one that lets people move from passive ...

A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN ... costs tend to be higher. Diffusion is the tech at the ...