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Open Graph

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Workshop at the 36th Conference on Neural Information Processing Systems

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2026-02-20 08:38:23

raw text

LoG 2023 Shanghai Toggle navigation LoG 2023 About FAQ Invited Speakers Schedule Organizers Sponsors About The conference theme, "Theory, Models, and Applications of Geometric Deep Learning," aligns with the current AI research focus on understanding AI algorithm capabilities and limitations. Deep learning methods, like convolutional neural networks and graph neural networks, have seen rich theoretical advancements. Geometric deep learning offers a unified framework, addressing properties such as permutation invariance and rotation invariance. Its applications span quantum computing, 3D perception, drug design, and more, exemplified by AlphaFold's protein structure predictions. However, these structure-aware networks often lack a solid mathematical foundation. This workshop unites mathematicians and computer scientists to establish the mathematical theory of geometric deep learning, fostering reliable topological structures and efficient computi...

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