Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...
Graph neural networks (GNNs) have recently exploded in popularity thanks to their broad applicability to graph-related problems such as quantum chemistry, drug discovery, and high energy physics.
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