Graph neural networks (GNNs ... The introduced sample network utilizes the observed training deviations and outputs sample weights to realize the self-adaptive data utilization.

the general connectivity of the graph can be represented as an adjacency matrix that shows which nodes are connected to each other. When all of this information is provided to the neural network ...