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20182021
most citedStructure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples

4 citations · 5 across the 3 of their papers we have counts for

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Showing 2021Show all

1 paper · 1 filter

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…