Duta, Iulia

8 publications

ICLRW 2025 HyperGenie: A Method for Predicting Enzymatic Gene Essentiality Using Hypergraph Neural Networks and Genome-Scale Metabolic Models Panayiotis Ioannou, Iulia Duta, Suraj Verma, Pietro Cicuta, Pietro Lio, Claudio Angione

ICML 2025 SPHINX: Structural Prediction Using Hypergraph Inference Network Iulia Duta, Pietro Lio

ICMLW 2024 Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks Ferran Hernandez Caralt, Guillermo Bernardez, Iulia Duta, Eduard Alarcon, Pietro Lio

NeurIPS 2023 Sheaf Hypergraph Networks Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió

LoG 2023 The Second Learning on Graphs Conference: Preface Soledad Villar, Benjamin Chamberlain, Yuanqi Du, Hannes St"ark, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan

LoG 2022 The First Learning on Graphs Conference: Preface Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov

NeurIPS 2021 Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks Iulia Duta, Andrei Nicolicioiu, Marius Leordeanu

NeurIPS 2019 Recurrent Space-Time Graph Neural Networks Andrei Nicolicioiu, Iulia Duta, Marius Leordeanu