Iulia Duta

According to our database, Iulia Duta authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Subgraph Concept Networks: Concept Levels in Graph Classification.

Lucie Charlotte Magister, Alexander Norcliffe, Iulia Duta, Pietro Lio

CoRR, April, 2026

2025

Wasserstein Hypergraph Neural Network.

Iulia Duta, Pietro Liò

CoRR, June, 2025

Sheaves Reloaded: A Directional Awakening.

Stefano Fiorini, Hakan Aktas, Iulia Duta, Stefano Coniglio, Pietro Morerio, Alessio Del Bue, Pietro Liò

CoRR, June, 2025

SPHINX: Structural Prediction using Hypergraph Inference Network.

Iulia Duta, Pietro Lio

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts.

Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò

CoRR, 2024

Heterogeneous Sheaf Neural Networks.

Luke Braithwaite, Iulia Duta, Pietro Liò

CoRR, 2024

Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks.

Ferran Hernandez Caralt, Guillermo Bernárdez Gil, Iulia Duta, Pietro Liò, Eduard Alarcón-Cot

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Sheaf Hypergraph Networks.

Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Second Learning on Graphs Conference: Preface.

Soledad Villar, Benjamin Paul Chamberlain, Yuanqi Du, Hannes Stärk, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

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 M. Li, Sofia Bourhim, Ilia Igashov

Proceedings of the Learning on Graphs Conference, 2022

2021

Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks.

Iulia Duta, Andrei Liviu Nicolicioiu, Marius Leordeanu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning.

Iulia Duta, Andrei Liviu Nicolicioiu

CoRR, 2020

2019

Recurrent Space-time Graphs for Video Understanding.

Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu

CoRR, 2019

Recurrent Space-time Graph Neural Networks.

Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Mining for meaning: from vision to language through multiple networks consensus.

Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu

Proceedings of the British Machine Vision Conference 2018, 2018