HOW HARD IS TO DISTINGUISH GRAPHS WITH GRAPH NEURAL NETWORKS?

von Loukas, Andreas
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 5 of 27 (2021)

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

von Karalias, Nikolaos
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

BUILDING POWERFUL AND EQUIVARIANT GRAPH NEURAL NETWORKS WITH STRUCTURAL MESSAGE-PASSING

von Vignac, Clement
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 17 of 27 (2021)

What training reveals about neural network complexity

von Loukas, Andreas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 1 of 36 (2022)

SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning

von Atzeni, Mattia
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

ATTENTION IS NOT ALL YOU NEED: PURE ATTENTION LOSES RANK DOUBLY EXPONENTIALLY WITH DEPTH

von DONG, YIHE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)

On the generalization of learning algorithms that do not converge

von Chandramoorthy, Nisha
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)

SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-Shot Graph Generators

von Martinkus, Karolis
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 19 of 33 (2023)

Partition and Code: learning how to compress graphs

von Bouritsas, Giorgos
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

von Karalias, Nikolaos
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 20 of 50 (2023)