References 297
Corso, Gabriele, Luca Cavalleri, Dominique Beaini, Pietro Liò, and Petar Veli
ˇ
ckovi
´
c.
2020. “Principal neighbourhood aggregation for graph nets.” Advances in neural
information processing systems 33:13260–13271.
Cybenko, George. 1989. “Approximation by superpositions of a sigmoidal function.”
Mathematics of Control, Signals and Systems 2 (4): 303–314.
Dai, Hanjun, Bo Dai, and Le Song. 2016. “Discriminative embeddings of latent variable
models for structured data.” In International conference on machine learning, 2702–
2711. PMLR.
Dauparas, Justas, Ivan Anishchenko, Nathaniel Bennett, Hua Bai, Robert J Ragotte,
Lukas F Milles, Basile IM Wicky, Alexis Courbet, Rob J de Haas, Neville Bethel, et
al. 2022. “Robust deep learning–based protein sequence design using ProteinMPNN.”
Science 378 (6615): 49–56.
de Haan, Pim, Taco Cohen, and Max Welling. 2020. “Natural graph networks.”
Advances in neural information processing systems 33:3636–3646.
de Haan, Pim, Maurice Weiler, Taco Cohen, and Max Welling. 2020. “Gauge Equivari-
ant Mesh CNNs: Anisotropic convolutions on geometric graphs.” In NeurIPS.
De Nadai, Marco, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Sil-
vestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, et al. 2024.
“Personalized audiobook recommendations at spotify through graph neural networks.”
In Companion Proceedings of the ACM Web Conference 2024, 403–412.
Deac, Andreea, Marc Lackenby, and Petar Veli
ˇ
ckovi
´
c. 2022. “Expander Graph Propa-
gation.” In Proceedings of the First Learning on Graphs Conference, edited by Bastian
Rieck and Razvan Pascanu, vol. 198, 38:1–38:18. Proceedings of Machine Learning
Research. PMLR, September. https://proceedings.mlr.press/v198/deac22a.html.
Defferrard, Michaël, Xavier Bresson, and Pierre Vandergheynst. 2016. “Convolutional
neural networks on graphs with fast localized spectral filtering.” NIPS.
Derksen, Harm, and Gregor Kemper. 2002. Computational Invariant Theory. Springer
Berlin Heidelberg.
Derrow-Pinion, Austin, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis
Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, et al. 2021. “Eta
prediction with graph neural networks in google maps.” In Proceedings of the 30th ACM
International Conference on Information & Knowledge Management, 3767–3776.
Desargues, Girard. 1643. Pratique du trait a preuves.
Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. “Bert: Pre-
training of deep bidirectional transformers for language understanding.” In Proceedings
of the 2019 conference of the North American chapter of the association for computa-
tional linguistics: human language technologies, volume 1 (long and short papers),
4171–4186.
Di Giovanni, Francesco, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc
Lackenby, Siddhartha Mishra, and Petar Veli
ˇ
ckovi
´
c. 2024. “How does over-squashing
affect the power of GNNs?” Transactions on Machine Learning Research, ISSN: 2835-
8856. https://openreview.net/forum?id=KJRoQvRWNs.