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cs.LG2021★ 1 cited
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Shiyi Chen, Ziao Wang, Xinni Zhang +2
Graph representation learning has long been an important yet challenging task for various real-world applications. However, their downstream tasks are mainly performed in the setti…
cs.LG2018
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples
Dan Peng, Zizhan Zheng, Xiaofeng Zhang
Adversarial examples are perturbed inputs designed to fool machine learning models. Most recent works on adversarial examples for image classification focus on directly modifying p…