gnnad is a package for anomaly detection on multivariate time series data. This model builds on the recently-proposed Graph Deviation Network (GDN) 1, a graph neural network model that uses embeddings ...
Before you begin, ensure that you have Anaconda or Miniconda installed on your system. This guide assumes that you have a CUDA-enabled GPU. Benchmark the GCN model on the example Reddit dataset under ...
Time-series data in manufacturing (temperature, pressure, vibration, current...) is tricky. Data preprocessing, windowing, normalization, the format to pass to the model... "I'll visualize that data ...
The development of universal machine-learning interatomic potentials capable of simulating magnetic ordering is vital for the in silico discovery of indispensable magnetic materials across vast ...
Temperature uncertainty can have a significant impact on astronomical research in several ways. Observations made using telescopes and other astronomical instruments are often temperature sensitive.
Sea surface temperature (SST) variability plays a key role in the global weather and climate system, with phenomena such as El Niño-Southern Oscillation (ENSO) regarded as a major source of ...
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