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George Dasoulas
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2020 – today
- 2024
- [c9]Tina Vartziotis
, Ippolyti Dellatolas
Learn to Code Sustainably: An Empirical Study on Green Code Generation. LLM4CODE@ICSE 2024: 30-37 - [i19]Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen:
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation. CoRR abs/2403.03344 (2024) - [i18]Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici:
E(n) Equivariant Topological Neural Networks. CoRR abs/2405.15429 (2024) - [i17]Michail Chatzianastasis, George Dasoulas, Michalis Vazirgiannis:
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs. CoRR abs/2406.14142 (2024) - [i16]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [j4]Yasha Ektefaie, George Dasoulas
Multimodal learning with graphs. Nat. Mac. Intell. 5(4): 340-350 (2023) - [j3]Giannis Nikolentzos
Permute Me Softly: Learning Soft Permutations for Graph Representations. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5087-5098 (2023) - [c8]Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis:
Graph Ordering Attention Networks. AAAI 2023: 7006-7014 - [c7]Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik:
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. ICLR 2023 - [i15]Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik:
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. CoRR abs/2302.13406 (2023) - [i14]Dimitris Vartziotis, George Dasoulas, Florian Pausinger:
Learn2Extend: Extending sequences by retaining their statistical properties with mixture models. CoRR abs/2312.01507 (2023) - 2022
- [b1]George Dasoulas:
Towards Expressive Graph Neural Networks: Theory, Algorithms, and Applications. (Vers des Graph Neural Networks expressives: théorie, algorithmes et applications). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [j2]Guillaume Salha-Galvan
Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks 153: 474-495 (2022) - [i13]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR abs/2202.00961 (2022) - [i12]Michail Chatzianastasis
Graph Ordering Attention Networks. CoRR abs/2204.05351 (2022) - [i11]Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha Farhat, Marinka Zitnik:
Geometric multimodal representation learning. CoRR abs/2209.03299 (2022) - [i10]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR abs/2211.08972 (2022) - 2021
- [c6]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP 2021: 3210-3214 - [c5]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Graph-based Neural Architecture Search with Operation Embeddings. ICCVW 2021: 393-402 - [c4]George Dasoulas
Learning Parametrised Graph Shift Operators. ICLR 2021 - [c3]George Dasoulas, Kevin Scaman, Aladin Virmaux:
Lipschitz normalization for self-attention layers with application to graph neural networks. ICML 2021: 2456-2466 - [i9]George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Learning Parametrised Graph Shift Operators. CoRR abs/2101.10050 (2021) - [i8]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations on Graphs. CoRR abs/2102.08735 (2021) - [i7]George Dasoulas
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks. CoRR abs/2103.04886 (2021) - [i6]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Operation Embeddings for Neural Architecture Search. CoRR abs/2105.04885 (2021) - [i5]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
Permute Me Softly: Learning Soft Permutations for Graph Representations. CoRR abs/2110.01872 (2021) - 2020
- [j1]Giannis Nikolentzos
k-hop graph neural networks. Neural Networks 130: 195-205 (2020) - [c2]Stratis Limnios, George Dasoulas
Hcore-Init: Neural Network Initialization based on Graph Degeneracy. ICPR 2020: 5852-5858 - [c1]George Dasoulas
Coloring Graph Neural Networks for Node Disambiguation. IJCAI 2020: 2126-2132 - [i4]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. CoRR abs/2003.00553 (2020) - [i3]Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis:
Hcore-Init: Neural Network Initialization based on Graph Degeneracy. CoRR abs/2004.07636 (2020)
2010 – 2019
- 2019
- [i2]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
k-hop Graph Neural Networks. CoRR abs/1907.06051 (2019) - [i1]George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux:
Coloring graph neural networks for node disambiguation. CoRR abs/1912.06058 (2019)
Coauthor Index
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