Graph Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence, Gnn.
the graph Fourier basis. We can design graph filters by constructing g in the spectral domain directly based on the desired frequency response. Alternatively, data-driven methods can learn graph filters adapted to specific applications. Graph convolutional neural networks build on graph convolution