Graph Convolutional Networks for Classification with a Structured Label Space

It is a usual practice to ignore any structural information underlying classes in multi-class classification. In this paper, we propose a graph convolutional network (GCN) augmented neural network classifier to exploit a known, underlying graph structure of labels. The proposed approach resembles an...

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Hauptverfasser:	Chen, Meihao, Lin, Zhuoru, Cho, Kyunghyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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