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Found 3 papers, 3 papers with code
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
Specifically, our proposed STLGRU can effectively capture dynamic local and global spatial-temporal relations of traffic networks using memory-augmented attention and gating mechanisms in a continuously synchronized manner.
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
Wearable sensor based human activity recognition is a challenging problem due to difficulty in modeling spatial and temporal dependencies of sensor signals.
Human Activity Recognition from Wearable Sensor Data Using Self-Attention
In this regard, the existing recurrent or convolutional or their hybrid models for activity recognition struggle to capture spatio-temporal context from the feature space of sensor reading sequence.
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