Karalias, Nikolaos

6 publications

NeurIPS 2025 Geometric Algorithms for Neural Combinatorial Optimization with Constraints Nikolaos Karalias, Akbar Rafiey, Yifei Xu, Zhishang Luo, Behrooz Tahmasebi, Connie Jiang, Stefanie Jegelka

NeurIPS 2024 Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau, Nikolaos Karalias, Eric Lu, Jessica Xu, Stefanie Jegelka

NeurIPSW 2023 Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau, Eric Lu, Nikolaos Karalias, Jessica Xu, Stefanie Jegelka

NeurIPS 2022 Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions Nikolaos Karalias, Joshua W. Robinson, Andreas Loukas, Stefanie Jegelka

NeurIPS 2021 Partition and Code: Learning How to Compress Graphs Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael Bronstein

NeurIPS 2020 Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs Nikolaos Karalias, Andreas Loukas