George Dasoulas

39 papers A* 6B 1Misc 1Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations. CoRR Boyang Fu, George Dasoulas, Sameer Gabbita, Xiang Li, Shanghua Gao, Xiao-Rui Su, Soumya Ghosh, Marinka Zitnik
2025	J	`jnl`	Carbon Footprint Evaluation of Code Generation through LLM as a Service. CoRR Tina Vartziotis, Maximilian Schmidt, George Dasoulas, Ippolyti Dellatolas, Stefano Attademo, Viet Dung Le, Anke Wiechmann, Tim Hoffmann, Michael Keckeisen, Sotirios Kotsopoulos
2025	A*	`conf`	E(n) Equivariant Topological Neural Networks. ICLR Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
2025	J	`jnl`	L earn 2E xtend : Extending Sequences by Retaining their Statistical Properties with Mixture Models. Exp. Math. Dimitris Vartziotis, George Dasoulas, Florian Pausinger
2025	J	`jnl`	TopoBench: A Framework for Benchmarking Topological Deep Learning. J. Data-centric Mach. Learn. Res. Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2024	J	`jnl`	E(n) Equivariant Topological Neural Networks. CoRR Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
2024	J	`jnl`	Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs. CoRR Michail Chatzianastasis, George Dasoulas, Michalis Vazirgiannis
2024	—	`conf`	ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM 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 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, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024	J	`jnl`	ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR 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, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024	—	`conf`	Learn to Code Sustainably: An Empirical Study on Green Code Generation. LLM4CODE@ICSE Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
2024	J	`jnl`	Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation. CoRR Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
2023	A*	`conf`	GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. ICLR Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik
2023	J	`jnl`	GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. CoRR Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik
2023	A*	`conf`	Graph Ordering Attention Networks. AAAI Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis
2023	J	`jnl`	Learn2Extend: Extending sequences by retaining their statistical properties with mixture models. CoRR Dimitris Vartziotis, George Dasoulas, Florian Pausinger
2023	J	`jnl`	Multimodal learning with graphs. Nat. Mac. Intell. Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha R. Farhat, Marinka Zitnik
2023	J	`jnl`	Permute Me Softly: Learning Soft Permutations for Graph Representations. IEEE Trans. Pattern Anal. Mach. Intell. Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2022	J	`jnl`	Geometric multimodal representation learning. CoRR Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha R. Farhat, Marinka Zitnik
2022	J	`jnl`	Graph Ordering Attention Networks. CoRR Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis
2022	J	`jnl`	Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
2022	J	`jnl`	Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
2022	J	`jnl`	New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
2022	—	`—`	Towards Expressive Graph Neural Networks: Theory, Algorithms, and Applications. (Vers des Graph Neural Networks expressives: théorie, algorithmes et applications). George Dasoulas
2021	Misc	`conf`	Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2021	J	`jnl`	Ego-based Entropy Measures for Structural Representations on Graphs. CoRR George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2021	—	`conf`	Graph-based Neural Architecture Search with Operation Embeddings. ICCVW Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis
2021	A*	`conf`	Learning Parametrised Graph Shift Operators. ICLR George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis
2021	J	`jnl`	Learning Parametrised Graph Shift Operators. CoRR George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis
2021	J	`jnl`	Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks. CoRR George Dasoulas, Kevin Scaman, Aladin Virmaux
2021	A*	`conf`	Lipschitz normalization for self-attention layers with application to graph neural networks. ICML George Dasoulas, Kevin Scaman, Aladin Virmaux
2021	J	`jnl`	Operation Embeddings for Neural Architecture Search. CoRR Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis
2021	J	`jnl`	Permute Me Softly: Learning Soft Permutations for Graph Representations. CoRR Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2020	A*	`conf`	Coloring Graph Neural Networks for Node Disambiguation. IJCAI George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
2020	J	`jnl`	Ego-based Entropy Measures for Structural Representations. CoRR George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2020	B	`conf`	Hcore-Init: Neural Network Initialization based on Graph Degeneracy. ICPR Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis
2020	J	`jnl`	Hcore-Init: Neural Network Initialization based on Graph Degeneracy. CoRR Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis
2020	J	`jnl`	k-hop graph neural networks. Neural Networks Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2019	J	`jnl`	Coloring graph neural networks for node disambiguation. CoRR George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
2019	J	`jnl`	k-hop Graph Neural Networks. CoRR Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis