πDisease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends
πjournal: HEALTHCARE-BASEL (I.F=2.8)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Disease #Prediction #Graph_Machine_Learning #Electronic #Health #Trends #Review
πjournal: HEALTHCARE-BASEL (I.F=2.8)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Disease #Prediction #Graph_Machine_Learning #Electronic #Health #Trends #Review
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πPrivacy-Preserving Graph Machine Learning from Data to Computation: A Survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Privacy #Preserving #Graph_Machine_Learning #Computation #survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Privacy #Preserving #Graph_Machine_Learning #Computation #survey
π3
πGraph Machine Learning in the Era of Large Language Models (LLMs)
π Publish year: 2023
π§βπ»Authors: Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
π’Universities: The Hong Kong Polytechnic University,Michigan State University, North Carolina State University
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph_Machine_Learning #LLMs
π Publish year: 2023
π§βπ»Authors: Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
π’Universities: The Hong Kong Polytechnic University,Michigan State University, North Carolina State University
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph_Machine_Learning #LLMs
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πΉ Introduction to Graph Machine Learning: Methods and Applications
π₯ Jundong Li, Associate Professor, University of Virginia
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #graph_machine_learning
π₯ Jundong Li, Associate Professor, University of Virginia
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #graph_machine_learning
YouTube
Introduction to Graph Machine Learning: Methods and Applications
To get the slides and a certificate of completion, go to https://academy.isdsa.org/moodle/course/view.php?id=26
Graph-structured data is central to many real-world problems, encompassing domains such as recommender systems, social network analysis, and computationalβ¦
Graph-structured data is central to many real-world problems, encompassing domains such as recommender systems, social network analysis, and computationalβ¦
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π Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
π Publish year: 2025
π§βπ»Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
π’Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
π Publish year: 2025
π§βπ»Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
π’Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
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