1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali, Jinlong Li, Huanhuan Chen +1
Graph contrastive learning (GCL) aims to contrast positive-negative counterparts to learn the node embeddings, whereas graph data augmentation methods are employed to generate thes…
cs.LG2019★ 1 cited
Use Short Isometric Shapelets to Accelerate Binary Time Series Classification
Weibo Shu, Yaqiang Yao, Shengfei Lyu +2
In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification. However, its high time compl…