Abstract: Graph neural network (GNN) have gained extensive adoption in diverse fields, including IoT anomaly detection, social network analysis, and drug molecule prediction, due to their exceptional ...

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...