Few-Shot Graph Classification with Model Agnostic Meta-Learning

Ma Ning
Ma Ning
Yang Jieyu
Yang Jieyu
Zhang Zhen
Zhang Zhen
Yao Chengwei
Yao Chengwei
Yu Zhi
Yu Zhi
Cited by: 0|Bibtex|Views31
Other Links: arxiv.org

Abstract:

Graph classification aims to perform accurate information extraction and classification over graphstructured data. In the past few years, Graph Neural Networks (GNNs) have achieved satisfactory performance on graph classification tasks. However, most GNNs based methods focus on designing graph convolutional operations and graph pooling ...More

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