Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification

18 Mar 2020 Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan

Graph classification aims to extract accurate information from graph-structured data for classification and is becoming more and more important in graph learning community. Although Graph Neural Networks (GNNs) have been successfully applied to graph classification tasks, most of them overlook the scarcity of labeled graph data in many applications... (read more)

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