Graph classification seeks to assign labels to entire graphs by extracting and learning from their structural patterns. Early approaches relied on graph kernels, which measure similarity by counting ...

In contemporary machine learning, long-tailed classification refers to the scenario where label distributions across classes follow a skewed pattern, with a small number of classes (head) accounting ...