Michail Chatzianastasis

According to our database, Michail Chatzianastasis authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings.

Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, 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

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.

Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis

CoRR, 2024

Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs.

Michail Chatzianastasis, George Dasoulas, Michalis Vazirgiannis

CoRR, 2024

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models.

Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis

CoRR, 2024

Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers.

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explainable Multilayer Graph Neural Network for cancer gene prediction.

Michail Chatzianastasis, Michalis Vazirgiannis, Zijun Zhang

Bioinform., November, 2023

What Do GNNs Actually Learn? Towards Understanding their Representations.

Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

CoRR, 2023

Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia.

Michail Chatzianastasis, Loukas Ilias, Dimitris Askounis, Michalis Vazirgiannis

Proceedings of the IEEE International Conference on Acoustics, 2023

Supervised Attention Using Homophily in Graph Neural Networks.

Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations.

Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Graph Ordering Attention Networks.

Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mass Enhanced Node Embeddings for Drug Repurposing.

Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

2021

Operation Embeddings for Neural Architecture Search.

Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis

CoRR, 2021

Graph-based Neural Architecture Search with Operation Embeddings.

Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021