Non-Linear-Graph-Neural-Network-Class-Identification Generating synthetic graphs and then training GNNS on class identification for a given node in the graph.

Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical ...

This repository contains the code for the paper 'Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion' In the GNN repo the code to train and ...

Linear functions, graphs and equations Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant.

Capture relationships between data sets by graphing linear equations in Microsoft Excel 2007. Linear equations allow you to predict values within your data set and view the overall trend.

The linear graph is shown in Figure 2, below, and the corresponding block diagram is shown in Figure 3, bottom. If you want to learn more about linear graphs in modeling and analysis, consult these ...