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πŸ“„ Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
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Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.

πŸ“Ž Study paper

⚑️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
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πŸ“„ Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏒
Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.

πŸ“Ž Study paper

⚑️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability

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For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content. Telegram users are able to send files of any type up to 2GB each and access them from any device, with no limit on cloud storage, which has made downloading files more popular on the platform. Messages are not fully encrypted by default. That means the company could, in theory, access the content of the messages, or be forced to hand over the data at the request of a government. "Like the bombing of the maternity ward in Mariupol," he said, "Even before it hits the news, you see the videos on the Telegram channels." As a result, the pandemic saw many newcomers to Telegram, including prominent anti-vaccine activists who used the app's hands-off approach to share false information on shots, a study from the Institute for Strategic Dialogue shows.
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