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Found 2 papers, 2 papers with code
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
The unsupervised solver is inspired by a relaxation-plus-rounding approach, the relaxed solution is parameterized by graph neural networks, and the cost and penalty of MMCP are explicitly written out, which can train the model end-to-end.
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Unfortunately, the existing deep learning-based methods neglect the hidden dependencies in different dimensions and also rarely consider the unique dynamic features of time series, which lack sufficient feature extraction capability to obtain satisfactory classification accuracy.
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