Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
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Updated
Mar 22, 2021 - Jupyter Notebook
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
OphanimFlow is a NetFlow aggregation and graphing toolkit that collects, classifies, and visualizes traffic data for each host in specified networks, providing detailed bandwidth usage and traffic accounting.
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