Convolutional neural networks expect a grid that represents the different dimensions of the data they process (e.g., width, height, and color channels of images).

In this first in a series on convolutional neural networks (CNNs), ... The data can occur as individual scalars, vectors, or in matrix form. Figure 1 shows a neuron with three inputs and a ReLU[2] ...

The team develops a new model, GCM, which captures the interactions among multiple user behaviors via graph neural networks, ... Graph convolution machine for context-aware recommender system.