3 papers
cs.LG2025
Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee +1
Graphon models provide a flexible nonparametric framework for estimating latent connectivity probabilities in networks, enabling a range of downstream applications such as link pre…
cs.LG2025
Transfer Learning Under High-Dimensional Network Convolutional Regression Model
Liyuan Wang, Jiachen Chen, Kathryn L. Lunetta +3
Transfer learning enhances model performance by utilizing knowledge from related domains, particularly when labeled data is scarce. While existing research addresses transfer learn…
stat.ML2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Jiachen Chen, Danyang Huang, Liyuan Wang +3
Node classification is a fundamental task, but obtaining node classification labels can be challenging and expensive in many real-world scenarios. Transfer learning has emerged as…