CLNode: Curriculum Learning for Node Classification. (arXiv:2206.07258v1 [cs.LG])

Node classification is a fundamental graph-based task that aims to predict
the classes of unlabeled nodes, for which Graph Neural Networks (GNNs) are the
state-of-the-art methods. In current GNNs, training nodes (or training samples)
are treated equally throughout training. The quality of the samples, however,
varies greatly according to the graph structure. Consequently, the performance
of GNNs could be harmed by two types of low-quality samples: (1) Inter-class
nodes situated near class boundaries that connect neighboring classes. These
nodes' representations …

arxiv classification curriculum curriculum learning learning lg node