Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Arora, Vinam"'
Graph neural networks are typically trained on individual datasets, often requiring highly specialized models and extensive hyperparameter tuning. This dataset-specific approach arises because each graph dataset often has unique node features and div
Externí odkaz:
http://arxiv.org/abs/2407.11907
Autor:
Azabou, Mehdi, Arora, Vinam, Ganesh, Venkataramana, Mao, Ximeng, Nachimuthu, Santosh, Mendelson, Michael J., Richards, Blake, Perich, Matthew G., Lajoie, Guillaume, Dyer, Eva L.
Our ability to use deep learning approaches to decipher neural activity would likely benefit from greater scale, in terms of both model size and datasets. However, the integration of many neural recordings into one unified model is challenging, as ea
Externí odkaz:
http://arxiv.org/abs/2310.16046
Autor:
Azabou M, Arora V, Ganesh V, Mao X, Nachimuthu S, Mendelson MJ, Richards B, Perich MG, Lajoie G, Dyer EL
Publikováno v:
ArXiv [ArXiv] 2023 Oct 24. Date of Electronic Publication: 2023 Oct 24.