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

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

Mass Enhanced Node Embeddings for Drug Repurposing. - Michail Chatzianastasis; Giannis Nikolentzos; Michalis Vazirgiannis (SETN, 2022)

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

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. - Giannis Nikolentzos; Michail Chatzianastasis; Michalis Vazirgiannis (AISTATS, 2023)

Supervised Attention Using Homophily in Graph Neural Networks. - Michail Chatzianastasis; Giannis Nikolentzos; Michalis Vazirgiannis (ICANN (4), 2023)

Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia. - Michail Chatzianastasis; Loukas Ilias; Dimitris Askounis; Michalis Vazirgiannis (ICASSP, 2023)

Explainable Multilayer Graph Neural Network for cancer gene prediction. - Michail Chatzianastasis; Michalis Vazirgiannis; Zijun Zhang (Bioinform., 2023)

Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. - Hadi Abdine; Michail Chatzianastasis; Costas Bouyioukos; Michalis Vazirgiannis (AAAI, 2024)

What Do GNNs Actually Learn? Towards Understanding Their Representations. - Giannis Nikolentzos; Michail Chatzianastasis; Michalis Vazirgiannis (LoG, 2024)

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models. - Iakovos Evdaimon; Giannis Nikolentzos; Michail Chatzianastasis; Hadi Abdine; Michalis Vazirgiannis (CoRR, 2024)

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

Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. - Iakovos Evdaimon; John P. A. Ioannidis; Giannis Nikolentzos; Michail Chatzianastasis; George Panagopoulos; Michalis Vazirgiannis (CoRR, 2024)

Graph Linearization Methods for Reasoning on Graphs with Large Language Models. - Christos Xypolopoulos; Guokan Shang; Xiao Fei; Giannis Nikolentzos; Hadi Abdine; Iakovos Evdaimon; Michail Chatzianastasis; Giorgos Stamou; Michalis Vazirgiannis (CoRR, 2024)

A graph neural architecture search approach for identifying bots in social media. - Georgios Tzoumanekas; Michail Chatzianastasis; Loukas Ilias; George Kiokes; John E. Psarras; Dimitris Askounis (Frontiers Artif. Intell., 2024)

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings. - Nikolaos Nakis; Chrysoula Kosma; Giannis Nikolentzos; Michail Chatzianastasis; Iakovos Evdaimon; Michalis Vazirgiannis (AISTATS, 2025)

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. - Roman Bresson; Giannis Nikolentzos; George Panagopoulos; Michail Chatzianastasis; Jun Pang 001; Michalis Vazirgiannis (Trans. Mach. Learn. Res., 2025)

The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks. - Nikolaos Nakis; Chrysoula Kosma; Anastasia Brativnyk; Michail Chatzianastasis; Iakovos Evdaimon; Michalis Vazirgiannis (CoRR, 2025)

Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment. - Xiao Fei; Michail Chatzianastasis; Sarah Almeida Carneiro; Hadi Abdine; Lawrence P. Petalidis; Michalis Vazirgiannis (CoRR, 2025)