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Michail Chatzianastasis
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2020 – today
- 2024
- [c7]Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis:
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. AAAI 2024: 10757-10765 - [i13]Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis:
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models. CoRR abs/2403.01535 (2024) - [i12]Michail Chatzianastasis, George Dasoulas, Michalis Vazirgiannis:
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs. CoRR abs/2406.14142 (2024) - [i11]Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis:
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR abs/2406.18380 (2024) - [i10]Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis:
Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. CoRR abs/2406.19219 (2024) - [i9]Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis:
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings. CoRR abs/2409.10452 (2024) - 2023
- [j1]Michail Chatzianastasis
, Michalis Vazirgiannis, Zijun Zhang:
Explainable Multilayer Graph Neural Network for cancer gene prediction. Bioinform. 39(11) (2023) - [c6]Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis:
Graph Ordering Attention Networks. AAAI 2023: 7006-7014 - [c5]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. AISTATS 2023: 1037-1054 - [c4]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Supervised Attention Using Homophily in Graph Neural Networks. ICANN (4) 2023: 576-586 - [c3]Michail Chatzianastasis, Loukas Ilias, Dimitris Askounis, Michalis Vazirgiannis:
Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia. ICASSP 2023: 1-5 - [i8]Michail Chatzianastasis, Michalis Vazirgiannis, Zijun Zhang:
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction. CoRR abs/2301.08831 (2023) - [i7]Michail Chatzianastasis, Loukas Ilias, Dimitris Askounis, Michalis Vazirgiannis:
Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia. CoRR abs/2302.05894 (2023) - [i6]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
What Do GNNs Actually Learn? Towards Understanding their Representations. CoRR abs/2304.10851 (2023) - [i5]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Supervised Attention Using Homophily in Graph Neural Networks. CoRR abs/2307.05217 (2023) - [i4]Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. CoRR abs/2307.14367 (2023) - 2022
- [c2]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Mass Enhanced Node Embeddings for Drug Repurposing. SETN 2022: 5:1-5:5 - [i3]Michail Chatzianastasis
Graph Ordering Attention Networks. CoRR abs/2204.05351 (2022) - [i2]Giannis Nikolentzos, Michail Chatzianastasis
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. CoRR abs/2211.02501 (2022) - 2021
- [c1]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Graph-based Neural Architecture Search with Operation Embeddings. ICCVW 2021: 393-402 - [i1]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Operation Embeddings for Neural Architecture Search. CoRR abs/2105.04885 (2021)
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last updated on 2024-10-15 00:26 CEST by the dblp team
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