Abstract: Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into low-dimensional node representations. While HGNNs extend the ...
Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
Abstract: The nature of vagueness, imprecision, and uncertainly is fuzzy rather than crisp and/or random, especially for a multiple objectives decision-making problem. A key component of fuzzy ...
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