Michail Chatzianastasis

Orcid: 0000-0002-9905-1646

According to our database1, Michail Chatzianastasis authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models.
CoRR, 2024

Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Explainable Multilayer Graph Neural Network for cancer gene prediction.
Bioinform., November, 2023

Supervised Attention Using Homophily in Graph Neural Networks.
CoRR, 2023

What Do GNNs Actually Learn? Towards Understanding their Representations.
CoRR, 2023

Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia.
Proceedings of the IEEE International Conference on Acoustics, 2023

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Graph Ordering Attention Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Mass Enhanced Node Embeddings for Drug Repurposing.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

2021
Operation Embeddings for Neural Architecture Search.
CoRR, 2021

Graph-based Neural Architecture Search with Operation Embeddings.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021


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