GNN2GNN: Graph Neural Networks to Generate Neural Networks

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@inproceedings{gnn2gnn-uai2022,
   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
}