Hcore-Init: Neural Network Initialization based on Graph Degeneracy. - Stratis Limnios; George Dasoulas; Dimitrios M. Thilikos; Michalis Vazirgiannis (ICPR, 2020)

Coloring Graph Neural Networks for Node Disambiguation. - George Dasoulas; Ludovic Dos Santos; Kevin Scaman; Aladin Virmaux (IJCAI, 2020)

Ego-based Entropy Measures for Structural Representations. - George Dasoulas; Giannis Nikolentzos; Kevin Scaman; Aladin Virmaux; Michalis Vazirgiannis (CoRR, 2020)

k-hop graph neural networks. - Giannis Nikolentzos; George Dasoulas; Michalis Vazirgiannis (Neural Networks, 2020)

Ego-Based Entropy Measures for Structural Representations on Graphs. - George Dasoulas; Giannis Nikolentzos; Kevin Scaman; Aladin Virmaux; Michalis Vazirgiannis (ICASSP, 2021)

Graph-based Neural Architecture Search with Operation Embeddings. - Michail Chatzianastasis; George Dasoulas; Georgios Siolas; Michalis Vazirgiannis (ICCVW, 2021)

Learning Parametrised Graph Shift Operators. - George Dasoulas; Johannes F. Lutzeyer; Michalis Vazirgiannis (ICLR, 2021)

Lipschitz normalization for self-attention layers with application to graph neural networks. - George Dasoulas; Kevin Scaman; Aladin Virmaux (ICML, 2021)

Operation Embeddings for Neural Architecture Search. - Michail Chatzianastasis; George Dasoulas; Georgios Siolas; Michalis Vazirgiannis (CoRR, 2021)

Geometric multimodal representation learning. - Yasha Ektefaie; George Dasoulas; Ayush Noori; Maha R. Farhat; Marinka Zitnik (CoRR, 2022)

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (CoRR, 2022)

Modularity-aware graph autoencoders for joint community detection and link prediction. - Guillaume Salha-Galvan; Johannes F. Lutzeyer; George Dasoulas; Romain Hennequin; Michalis Vazirgiannis (Neural Networks, 2022)

Towards Expressive Graph Neural Networks: Theory, Algorithms, and Applications. (Vers des Graph Neural Networks expressives: théorie, algorithmes et applications). - George Dasoulas (2022)

Graph Ordering Attention Networks. - Michail Chatzianastasis; Johannes F. Lutzeyer; George Dasoulas; Michalis Vazirgiannis (AAAI, 2023)

GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. - Jiali Cheng; George Dasoulas; Huan He; Chirag Agarwal; Marinka Zitnik (ICLR, 2023)

Learn2Extend: Extending sequences by retaining their statistical properties with mixture models. - Dimitris Vartziotis; George Dasoulas; Florian Pausinger (CoRR, 2023)

Multimodal learning with graphs. - Yasha Ektefaie; George Dasoulas; Ayush Noori; Maha R. Farhat; Marinka Zitnik (Nat. Mac. Intell., 2023)

Permute Me Softly: Learning Soft Permutations for Graph Representations. - Giannis Nikolentzos; George Dasoulas; Michalis Vazirgiannis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learn to Code Sustainably: An Empirical Study on Green Code Generation. - Tina Vartziotis; Ippolyti Dellatolas; George Dasoulas; Maximilian Schmidt; Florian Schneider; Tim Hoffmann; Sotirios Kotsopoulos; Michael Keckeisen (LLM4CODE@ICSE, 2024)

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation. - Tina Vartziotis; Ippolyti Dellatolas; George Dasoulas; Maximilian Schmidt; Florian Schneider; Tim Hoffmann; Sotirios Kotsopoulos; Michael Keckeisen (CoRR, 2024)

Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs. - Michail Chatzianastasis; George Dasoulas; Michalis Vazirgiannis (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - 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; et al. (CoRR, 2024)

E(n) Equivariant Topological Neural Networks. - Claudio Battiloro; Ege Karaismailoglu; Mauricio Tec; George Dasoulas; Michelle Audirac; Francesca Dominici (ICLR, 2025)

Carbon Footprint Evaluation of Code Generation through LLM as a Service. - Tina Vartziotis; Maximilian Schmidt; George Dasoulas; Ippolyti Dellatolas; Stefano Attademo; Viet Dung Le; Anke Wiechmann; Tim Hoffmann; Michael Keckeisen; Sotirios Kotsopoulos (CoRR, 2025)

L earn 2E xtend : Extending Sequences by Retaining their Statistical Properties with Mixture Models. - Dimitris Vartziotis; George Dasoulas; Florian Pausinger (Exp. Math., 2025)