Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers

被引：0
|
作者：
Xu, Lingjun [1 ]
Li, Haowen [1 ]
Song, Guojie [1 ]
Wang, Liang [2 ]
Zheng, Bo [2 ]
机构：
[1] National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China
[2] Alibaba Group, Beijing, China
来源：
Frontiers in Artificial Intelligence and Applications | / 392卷
基金：
中国国家自然科学基金;
关键词：
Degree distributions - Graph neural networks - Learn+ - Long tail - Low degree - Neighbourhood - Node degree distribution - Property - Real-world graphs - Structural characteristics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
27
引用
收藏
页码：2838 / 2845
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