A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2032081
Abstract: Abstract Accurate estimation of missing traffic data is one of the essential components in intelligent transportation systems (ITS). The non-Euclidean data structure and complex missing traffic flow patterns make it challenging to capture nonlinear spatiotemporal… read more here.
Keywords: view; spatiotemporal graph; traffic; bidirectional spatiotemporal ... See more keywords
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3221211
Abstract: Accurate early prediction of epileptic seizures can provide timely treatment for patients. Previous studies have mainly focused on a single temporal or spatial dimension, making it difficult to take both relationships into account. Therefore, the… read more here.
Keywords: spatiotemporal graph; based synchronization; attention network; graph ... See more keywords
Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3169488
Abstract: Modeling the spatiotemporal relationship (STR) of traffic data is important yet challenging for existing graph networks. These methods usually capture features separately in temporal and spatial dimensions or represent the spatiotemporal data by adopting multiple… read more here.
Keywords: synchronous spatiotemporal; spatiotemporal graph; graph; traffic data ... See more keywords
Learning Spatiotemporal Graph Representations for Visual Perception Using EEG Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3217344
Abstract: Perceiving and recognizing objects enable interaction with the external environment. Recently, decoding brain signals based on brain-computer interface (BCI) that recognize the user’s intentions by just looking at objects has attracted attention as a next-generation… read more here.
Keywords: neural network; visual perception; spatiotemporal graph; convolutional neural ... See more keywords