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pro vyhledávání: '"Nairouz A"'
This study highlights the importance of conducting comprehensive model inspection as part of comparative performance analyses. Here, we investigate the effect of modelling choices on the feature learning characteristics of graph neural networks appli
Externí odkaz:
http://arxiv.org/abs/2405.01270
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering 2023
We investigate the problem of multiplex graph embedding, that is, graphs in which nodes interact through multiple types of relations (dimensions). In recent years, several methods have been developed to address this problem. However, the need for mor
Externí odkaz:
http://arxiv.org/abs/2312.16834
Publikováno v:
Pattern Recognition 2023
Variational Graph Auto-Encoders (VGAEs) have been widely used to solve the node clustering task. However, the state-of-the-art methods have numerous challenges. First, existing VGAEs do not account for the discrepancy between the inference and genera
Externí odkaz:
http://arxiv.org/abs/2312.16830
Graph neural networks have emerged as a promising approach for the analysis of non-Euclidean data such as meshes. In medical imaging, mesh-like data plays an important role for modelling anatomical structures, and shape classification can be used in
Externí odkaz:
http://arxiv.org/abs/2210.16670
Publikováno v:
In Neural Networks January 2025 181
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
BackgroundNeural cell-electrode coupling is crucial for effective neural and retinal prostheses. Enhancing this coupling can be achieved through surface modification and geometrical design to increase neuron-electrode proximity. In the current resear
Externí odkaz:
https://doaj.org/article/dc8d8b144e56499d9e888656ea92fea5
Publikováno v:
In Pattern Recognition May 2024 149
Most recent graph clustering methods have resorted to Graph Auto-Encoders (GAEs) to perform joint clustering and embedding learning. However, two critical issues have been overlooked. First, the accumulative error, inflicted by learning with noisy cl
Externí odkaz:
http://arxiv.org/abs/2107.08562
Autor:
Magdi H. Yacoub, Yuan-Tsan Tseng, Jolanda Kluin, Annemijn Vis, Ulrich Stock, Hassiba Smail, Padmini Sarathchandra, Elena Aikawa, Hussam El-Nashar, Adrian H. Chester, Nairouz Shehata, Mohamed Nagy, Amr El-sawy, Wei Li, Gaetano Burriesci, Jacob Salmonsmith, Soha Romeih, Najma Latif
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-15 (2023)
Abstract Heart valve disease is a major cause of mortality and morbidity worldwide with no effective medical therapy and no ideal valve substitute emulating the extremely sophisticated functions of a living heart valve. These functions influence surv
Externí odkaz:
https://doaj.org/article/2f4de43f32a048168f38d511ee2a0394
Autor:
Gal Shpun, Nairouz Farah, Yoav Chemla, Amos Markus, Tamar Azrad Leibovitch, Erel Lasnoy, Doron Gerber, Zeev Zalevsky, Yossi Mandel
Publikováno v:
Journal of Biological Engineering, Vol 17, Iss 1, Pp 1-16 (2023)
Abstract Background Tissue-integrated micro-electronic devices for neural stimulation hold great potential in restoring the functionality of degenerated organs, specifically, retinal prostheses, which are aimed at vision restoration. The fabrication
Externí odkaz:
https://doaj.org/article/ace566f246cb4654836321e5981058ca