Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs. - Nikolaos Karalias; Andreas Loukas (NeurIPS, 2020)

Partition and Code: learning how to compress graphs. - Giorgos Bouritsas; Andreas Loukas; Nikolaos Karalias; Michael M. Bronstein (NeurIPS, 2021)

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions. - Nikolaos Karalias; Joshua Robinson 001; Andreas Loukas; Stefanie Jegelka (NeurIPS, 2022)

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