IEEE

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...
IEEE

Block Krylov Subspace Methods for Scalable Deep Graph Convolutional Networks

Abstract: In this paper, I explore the application of block Krylov subspace methods to enhance the scalability and efficiency of deep graph convolutional networks (GCNs). Deep learning models, ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...