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20192026
most citedAdversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment

4 citations · 5 across the 8 of their papers we have counts for

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Showing 2021Show all

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cs.LG2021

Permutation Equivariant Generative Adversarial Networks for Graphs

Yoann Boget, Magda Gregorova, Alexandros Kalousis

One of the most discussed issues in graph generative modeling is the ordering of the representation. One solution consists of using equivariant generative functions, which ensure t…