2020
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
NeurIPS 2020poster
We study the problem of node classification on graphs with few-shot novel labels, which has two distinctive properties: (1) There are novel labels to emerge in the graph; (2) The novel labels have only a few representative nodes for training a classifier. The study of this problem is instructive and…