Stebėti
Karalias Nikolaos
Pavadinimas
Cituota
Cituota
Metai
Erdos goes neural: an unsupervised learning framework for combinatorial optimization on graphs
N Karalias, A Loukas
NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, 2020
1302020
Partition and code: learning how to compress graphs
G Bouritsas, A Loukas, N Karalias, M Bronstein
Advances in Neural Information Processing Systems 34, 18603-18619, 2021
222021
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
N Karalias, J Robinson, A Loukas, S Jegelka
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 15338 …, 2022
102022
Probabilistic methods for neural combinatorial optimization
N Karalias
EPFL, 2023
12023
Are Graph Neural Networks Optimal Approximation Algorithms?
M Yau, N Karalias, E Lu, J Xu, S Jegelka
arXiv preprint arXiv:2310.00526, 2023
2023
LTS2
N Aspert, L Bagnato, E Bayram, R Boulandet, M Boulougouri, X Bresson, ...
Neural Extensions: Training Neural Networks with Set Functions
N Karalias, JD Robinson, A Loukas, S Jegelka
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