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Oct, 2023
图谱精简:基于特征向量匹配的方法
Graph Condensation via Eigenbasis Matching
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Yang Liu, Deyu Bo, Chuan Shi
TL;DR
通过特征基匹配合成图 (GCEM) 方法,我们解决了现有方法在图神经网络 (GNN) 的合成图上存在的泛化能力差的问题,通过匹配真实图和合成图的特征基,消除了 GNN 的谱偏差,并保留了图的结构信息,大大缩小了不同 GNN 之间的性能差距。
Abstract
The increasing amount of graph data places requirements on the efficiency and scalability of
graph neural networks
(GNNs), despite their effectiveness in various graph-related applications. Recently, the emerging
graph
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