Publications by Andreas Loukas

Related publications (24)

Exploring “dark-matter” protein folds using deep learning

Irina Morozova, Pierre Vandergheynst, Bruno Emanuel Ferreira De Sousa Correia, Andreas Loukas, Sandrine Madeleine Suzanne Georgeon, Stéphane Rosset, Zander Harteveld, Alexandra Krina Van Hall-Beauvais, Casper Alexander Goverde

De novo protein design explores uncharted sequence and structure space to generate novel proteins not sampled by evolution. A main challenge in de novo design involves crafting “designable” structural templates to guide the sequence searches toward adoptin ...

2024

What graph neural networks cannot learn: depth vs width

Andreas Loukas

This paper studies the expressive power of graph neural networks falling within the message-passing framework (GNNmp). Two results are presented. First, GNNmp are shown to be Turing universal under sufficient conditions on their depth, width, node attribut ...

2020

Spinner: Scalable Graph Partitioning in the Cloud

Andreas Loukas

In this paper, we present a graph partitioning algorithm to partition graphs with trillions of edges. To achieve such scale, our solution leverages the vertex-centric Pregel abstraction provided by Giraph, a system for large-scale graph analytics. We desig ...

Ieee2017

Forecasting Time Series With VARMA Recursions on Graphs

Nathanaël Perraudin, Andreas Loukas

2019