Graph Classification

A graph learning task focused on assigning a single label to the entire graph.

Graph classification differs from node-level tasks because the decision must be made from a summary representation of the entire graph. Tasks such as molecular toxicity prediction, program analysis graphs, and scene relation graphs fit this setting. GNN-based pooling and global representation learning become crucial here. It can be viewed as the problem of deriving a global decision from local relational structure.