Graph Classification (Supervised)

Graph classification is similar to the node classification formulation. In a graph classification task, we predict the attribute of a graph, unlike the label of a node (as done in the node classification task). Each graph is labeled, and, depending on the number of labels, it can be formulated as a binary or multiclass classification task. Depending on the use case, we can even formulate it as a regression task in which the target variable is a continuous value.