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ORCIDIulia Duta
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2020 – today
- 2026
[i11]Lucie Charlotte Magister, Alexander Norcliffe, Iulia Duta, Pietro Lio:
Subgraph Concept Networks: Concept Levels in Graph Classification. CoRR abs/2604.18868 (2026)- 2025
- [c8]Iulia Duta, Pietro Lio:
SPHINX: Structural Prediction using Hypergraph Inference Network. ICML 2025 - [i10]Stefano Fiorini, Hakan Aktas, Iulia Duta, Stefano Coniglio, Pietro Morerio, Alessio Del Bue, Pietro Liò:
Sheaves Reloaded: A Directional Awakening. CoRR abs/2506.02842 (2025) - [i9]Iulia Duta, Pietro Liò:
Wasserstein Hypergraph Neural Network. CoRR abs/2506.09682 (2025) - 2024
- [c7]Ferran Hernandez Caralt, Guillermo Bernárdez Gil, Iulia Duta, Pietro Liò, Eduard Alarcón-Cot:
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks. GRaM 2024: 249-263 - [i8]Ferran Hernandez Caralt, Guillermo Bernárdez Gil, Iulia Duta, Pietro Liò, Eduard Alarcón-Cot:
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks. CoRR abs/2407.20597 (2024) - [i7]Luke Braithwaite
, Iulia Duta, Pietro Liò:
Heterogeneous Sheaf Neural Networks. CoRR abs/2409.08036 (2024) - [i6]Iulia Duta, Pietro Liò:
SPHINX: Structural Prediction using Hypergraph Inference Network. CoRR abs/2410.03208 (2024) - [i5]Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò:
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts. CoRR abs/2410.07764 (2024) - 2023
- [c6]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:
The Second Learning on Graphs Conference: Preface. LoG 2023: i-xix - [c5]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió:
Sheaf Hypergraph Networks. NeurIPS 2023 - [i4]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Liò:
Sheaf Hypergraph Networks. CoRR abs/2309.17116 (2023) - 2022
- [c4]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:
The First Learning on Graphs Conference: Preface. LoG 2022: i-xxiii - 2021
- [c3]Iulia Duta, Andrei Liviu Nicolicioiu, Marius Leordeanu:
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks. NeurIPS 2021: 7111-7125 - 2020
- [i3]Iulia Duta, Andrei Liviu Nicolicioiu:
Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning. CoRR abs/2009.08427 (2020)
2010 – 2019
- 2019
- [c2]Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu:
Recurrent Space-time Graph Neural Networks. NeurIPS 2019: 12818-12830 - [i2]Andrei Liviu Nicolicioiu, Iulia Duta, Marius Leordeanu:
Recurrent Space-time Graphs for Video Understanding. CoRR abs/1904.05582 (2019) - 2018
- [c1]Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu:
Mining for meaning: from vision to language through multiple networks consensus. BMVC 2018: 275 - [i1]Iulia Duta, Andrei Liviu Nicolicioiu, Simion-Vlad Bogolin, Marius Leordeanu:
Mining for meaning: from vision to language through multiple networks consensus. CoRR abs/1806.01954 (2018)
Coauthor Index
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