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Post 1445
๐ Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
๐ Publish year: 2025
๐งโ๐ปAuthors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
๐ขUniversities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
๐ Study paper
โก๏ธChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
๐ Publish year: 2025
๐งโ๐ปAuthors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
๐ขUniversities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
๐ Study paper
โก๏ธChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
๐2
group-telegram.com/complexnetworkanalysis/1445
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๐ Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
๐ Publish year: 2025
๐งโ๐ปAuthors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
๐ขUniversities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
๐ Study paper
โก๏ธChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
๐ Publish year: 2025
๐งโ๐ปAuthors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
๐ขUniversities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
๐ Study paper
โก๏ธChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
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