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算力平台
6 个月前

异质性和过平滑在图卷积神经网络中的两面性：异质性和过平滑在图卷积神经网络中的研究

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Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra

异质性和过平滑在图卷积神经网络中的两面性：异质性和过平滑在图卷积神经网络中的研究

摘要

请提供需要翻译的英文内容。

代码仓库

yujun-yan/heterophily_and_oversmoothing
官方
pytorch
GitHub 中提及
https://example.com

基准测试

基准方法指标
node-classification-on-actorGGCN
Accuracy: 37.54 ± 1.56
node-classification-on-chameleonGGCN
Accuracy: 71.14 ± 1.84
node-classification-on-citeseer-48-32-20GGCN
1:1 Accuracy: 77.14 ± 1.45
node-classification-on-cora-48-32-20-fixedGGCN
1:1 Accuracy: 87.95 ± 1.05
node-classification-on-cornellGGCN
Accuracy: 85.68 ± 6.63
node-classification-on-non-homophilic-10GGCN
1:1 Accuracy: 37.54 ± 1.56 
node-classification-on-non-homophilic-10GPRGCN
1:1 Accuracy: 35.16 ± 0.9
node-classification-on-non-homophilic-11GGCN
1:1 Accuracy: 71.14 ±1.84
node-classification-on-non-homophilic-12GGCN
1:1 Accuracy: 55.17 ± 1.58
node-classification-on-non-homophilic-7GGCN
1:1 Accuracy: 85.68 ± 6.63 
node-classification-on-non-homophilic-8GGCN
1:1 Accuracy: 86.86 ± 3.29 
node-classification-on-non-homophilic-9GGCN
1:1 Accuracy: 84.86 ± 4.55
node-classification-on-pubmed-48-32-20-fixedGGCN
1:1 Accuracy: 89.15 ± 0.37
node-classification-on-squirrelGGCN
Accuracy: 55.17 ± 1.58
node-classification-on-texasGGCN
Accuracy: 84.86 ± 4.55
node-classification-on-wisconsinGGCN
Accuracy: 86.86 ± 3.29

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异质性和过平滑在图卷积神经网络中的两面性：异质性和过平滑在图卷积神经网络中的研究 | 论文 | HyperAI超神经