SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples

Yuntao Shou, Xiangyong Cao, Deyu Meng

Graph Contrastive Learning (GCL) excels at managing noise and fluctuations in input data, making it popular in various fields (e.g., social networks, and knowledge graphs). Our stu…