Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network

Deep learning algorithms have seen a massive rise in popularity for remote sensing over the past few years. Recently, studies on applying deep learning techniques to graph data in remote sensing (e.g., public transport networks) have been conducted. In graph node classification tasks, traditional gr...

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主要な著者:	Yijun Duan, Xin Liu, Adam Jatowt, Hai-tao Yu, Steven Lynden, Kyoung-Sook Kim, Akiyoshi Matono
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-07-01
シリーズ:	Remote Sensing
主題:	graph convolutional network imbalanced data classification cost-sensitive learning semi-supervised learning
オンライン･アクセス:	https://www.mdpi.com/2072-4292/14/14/3295
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