GNN2GNN: Graph Neural Networks to Generate Neural Networks
author = {Agiollo, Andrea and Omicini, Andrea},
booktitle = {Uncertainty in Artificial Intelligence},
dblp = {conf/uai/AgiolloO22},
editor = {Cussens, James and Zhang, Kun},
iris = {11585/899465},
issn = {2640-3498},
keywords = {Graph Neural Networks, Neural Architecture Search, Generative Adversarial Networks},
month = aug,
note = {Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands},
numpages = 11,
pages = {32--42},
publisher = {ML Research Press},
scholar = {3643983533846865361},
scopus = {2-s2.0-85163345190},
series = {Proceedings of Machine Learning Research},
title = {{GNN2GNN}: Graph Neural Networks to Generate Neural Networks},
url = {https://proceedings.mlr.press/v180/agiollo22a.html},
urlopenaccess = {https://proceedings.mlr.press/v180/agiollo22a/agiollo22a.pdf},
volume = 180,
wos = {WOS:001228408900004},
year = 2022
}