Xianglu Zhu

Layer-wise contrastive network for unsupervised graph representation learning

2026 · Neurocomputing

Unsupervised graph representation learning has emerged as a cornerstone for extracting meaningful insights from complex relational data. While contrastive learning paradigms have achieved notable success, they traditionally rely on stochastic data augmentations to generate multiple …