📃Systematic Review of Graph Neural Network for Malicious Attack Detection
🗓 Publish year: 2025
📘Journal: Information (I.F=2.9 )
🧑💻Authors: Sarah Mohammed Alshehri , Sanaa Abdullah Sharaf and Rania Abdullrahman Molla
🏢Universities: King Abdulaziz University, Jeddah 21589, Saudi Arabia.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Malicious #Attack #review
🗓 Publish year: 2025
📘Journal: Information (I.F=2.9 )
🧑💻Authors: Sarah Mohammed Alshehri , Sanaa Abdullah Sharaf and Rania Abdullrahman Molla
🏢Universities: King Abdulaziz University, Jeddah 21589, Saudi Arabia.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Malicious #Attack #review
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📹 Introduction to Graph Machine Learning: Methods and Applications
💥 Jundong Li, Associate Professor, University of Virginia
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #graph_machine_learning
💥 Jundong Li, Associate Professor, University of Virginia
🎞 Watch
⚡️Channel: @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 computational…
Graph-structured data is central to many real-world problems, encompassing domains such as recommender systems, social network analysis, and computational…
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