Nikolaos Karalias

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

High Dimensions

Approximation Algorithms

Unsupervised Learning

Combinatorial Optimization

Top Venues

Publications

Morris Yau, Eric Lu, Nikolaos Karalias, Jessica Xu, Stefanie Jegelka
Are Graph Neural Networks Optimal Approximation Algorithms? CoRR (2023)
Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions. NeurIPS (2022)
Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions. CoRR (2022)
Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein
Partition and Code: learning how to compress graphs. CoRR (2021)
Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein
Partition and Code: learning how to compress graphs. NeurIPS (2021)
Nikolaos Karalias, Andreas Loukas
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs. NeurIPS (2020)
Nikolaos Karalias, Andreas Loukas
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs. CoRR (2020)