Edge-Labeling Graph Neural Network for Few-Shot Learning
plored GNNs for few-shot learning and are based on the node-labeling framework. Edge-Labeling Graph Correlation clustering (CC) is a graph-partitioning algorithm [40] that infers the edge la-bels of the graph by simultaneously maximizing intra-cluster similarity and inter-cluster dissimilarity. Finley and
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