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Found 2 papers, 1 papers with code
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer
We further visualize the embedded dynamic graphs to illustrate the graph representation power of TSAT.
Multivariate Time Series Forecasting
Representation Learning
+1
Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment
To the best of our knowledge, the proposed Tensor-train, High-pooling and Semi-supervised learning based GAN (THS-GAN) is the first work to deal with classification on MRI images for AD diagnosis.
