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cs.LG2024★ 1 cited
Label Ensemble Perspective for Reduced-Complexity Graph Node Classification under Label Noise
Rui Zhao, Bin Shi, Zhiming Liang +4
Graph Neural Networks (GNNs) have been widely employed for semi-supervised node classification tasks on graphs. However, the performance of GNNs is significantly affected by \emph{…
cs.CV2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
Rui Zhao, Bin Shi, Jianfei Ruan +2
In noisy label learning, estimating noisy class posteriors plays a fundamental role for developing consistent classifiers, as it forms the basis for estimating clean class posterio…
cs.SI2024
GraphPub: Generation of Differential Privacy Graph with High Availability
Wanghan Xu, Bin Shi, Ao Liu +2
In recent years, with the rapid development of graph neural networks (GNN), more and more graph datasets have been published for GNN tasks. However, when an upstream data owner pub…