BriefGPT.xyz
Oct, 2023
图补丁程序:通过测试时间增强减轻图神经网络中的度偏差
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
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Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
TL;DR
通过引入GraphPatcher框架,本文提出了一种具有测试时间增强功能的方法,旨在增强图神经网络对低度节点的泛化性能,并保留其在高度节点上的原有优势性能。
Abstract
Recent studies have shown that
graph neural networks
(GNNs) exhibit strong biases towards the
node degree
: they usually perform satisfactorily on high-degree nodes with rich neighbor information but struggle with
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