Abstract: Graph neural networks (GNNs) are gaining increasing popularity for EEG-based depression detection. However, previous GNN-based methods inadequately consider the characteristics of depression ...
Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
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