基于无负样本损失和自适应增强的图对比学习

周天琪,杨艳,张继杰,殷少伟,郭增强

Graph contrastive learning based on negative-sample-free loss and adaptive augmentation

Tian-qi ZHOU,Yan YANG,Ji-jie ZHANG,Shao-wei YIN,Zeng-qiang GUO

表 5 忽略不同因素对框架性能的影响

Tab.5 Effect of ignoring different factors on framework performance

% 模型 Cora Citeseer Pubmed GNSA-T 82.4 ± 0.5 71.5 ± 0.8 81.2 ± 0.6 GNSA-A 71.0 ± 1.5 60.1 ± 2.0 79.0 ± 1.1 GNSA 83.3 ± 0.7 72.6 ± 0.1 81.6 ± 0.1