A GCN-plus-GRU spatiotemporal forecasting model is proposed for service performance, claiming SOTA on Alibaba Cluster Trace 2018, but the novelty is minimal and the experimental reporting is insufficient.
Leveraging convolutional neural network-transformer synergy for predictive modeling in risk- based applications,
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Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks
A GCN-plus-GRU spatiotemporal forecasting model is proposed for service performance, claiming SOTA on Alibaba Cluster Trace 2018, but the novelty is minimal and the experimental reporting is insufficient.