Regularity of Graph Neural Networks
Presented by Ron Levie (Technion) for the Data sciEnce on GrAphS (DEGAS) Webinar Series, in conjunction with the IEEE Signal Processing Society Data Science Initiative. For more information about the series, please visit https://dsiseminar.github.io/.
Видео Regularity of Graph Neural Networks канала IEEE Signal Processing Society
Видео Regularity of Graph Neural Networks канала IEEE Signal Processing Society
Показать
Комментарии отсутствуют
Информация о видео
14 марта 2024 г. 6:09:35
00:54:41
Другие видео канала
Signal Processing for Global Health SolutionsFrom Compressed Sensing to Deep Learning: Tasks, Structures and ModelsIEEE SPS Day 2024: Message by Kenneth LamDrinks @ SkyparkDEGAS at GSP Workshop 2023: AI and Medicine: Graph and Hypergraph Representation LearningCareers in Signal Processing: A World Without Signal ProcessingLow Distortion Embeddings With Bottom-up Manifold LearningTraining frequency hopping graphs for improving the efficiency of 6G channel utilization with red...Computational Imaging in Signal ProcessingCareers in Signal Processing: Professional Development Through MentorshipCommunication Efficient Privacy-Preserving Distributed OptimizationCausal Inference on Networks to Characterize Disinformation Narrative PropagationPrincipled Simplicial Neural Networks for Trajectory PredictionWelcome to ICASSP 2021!ICASSP 2021: Jelena Kovačević - "Our Hidden Figures"Robustness of Graph Neural Networks5-MICC: Automatic medical diagnosis and image quality enhancement for video otoscopy examinationDEGAS Webinar SeriesSPS Day Welcome - Athina PetropuluICIP 2022 postersBeats on the Barbie at IEEE Sections Congress 2017