📃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
👍1
📹 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…
👍2
📑 Visibility graph analysis for educational data
🗓 Publish year: 2025
📕Journal: Scientific Reports (I.F. = 3.2)
🧑💻Authors: Hadis Azizi, Mohammad Sadra Amini, Sadegh Sulaimany & Aso Mafakheri
🏢University: Social and Biological Network Analysis Laboratory (SBNA), University of Kurdistan, Iran
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #educational_data #visibility_graph
🗓 Publish year: 2025
📕Journal: Scientific Reports (I.F. = 3.2)
🧑💻Authors: Hadis Azizi, Mohammad Sadra Amini, Sadegh Sulaimany & Aso Mafakheri
🏢University: Social and Biological Network Analysis Laboratory (SBNA), University of Kurdistan, Iran
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #educational_data #visibility_graph
👍2❤1🔥1
📄 Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
🗓 Publish year: 2025
🧑💻Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏢Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
🗓 Publish year: 2025
🧑💻Authors: Alireza Sadeghi, Farshid Hajati, Ahmadreza Argha, ...
🏢Universities: Clemson University, USA - University of New England & UNSW Sydney, Australia - Chinese Academy of Sciences, China.
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #multimodal #biomedical #interpretable #graph_machine_learning #explainability
👍2
📃 A Survey of Link Prediction in Temporal Networks
🗓 Publish year: 2025
🧑💻Authors: Jiafeng Xiong, Ahmad Zareie and Rizos Sakellariou
🏢Universities: University of Manchester & University of Sheffield, UK
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #link_prediction #temporal
🗓 Publish year: 2025
🧑💻Authors: Jiafeng Xiong, Ahmad Zareie and Rizos Sakellariou
🏢Universities: University of Manchester & University of Sheffield, UK
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #link_prediction #temporal
👍2❤1
📹 Mathematical Models of Social Connectivity: The Role of Transitivity and Clustering
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #clustering_coefficeint #transitivity
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #clustering_coefficeint #transitivity
YouTube
Mathematical Models of Social Connectivity: The Role of Transitivity and Clustering
This lecture explains the fundamental concepts of transitivity, global and local clustering coefficients, and structural holes in social network analysis. Using intuitive explanations and practical social media examples, the video explains how these measures…
👍1
📑 Deep graph anomaly detection: A survey and new perspectives
🗓 Publish year: 2025
📗Journal: IEEE Transactions on Knowledge and Data Engineering (I.F. = 10.4)
🧑💻Authors: Hezhe Qiao, Hanghang Tong, Bo An, ...
🏢Universities: Singapore Management University, University of Illinois at Urbana-Champaign, Nanyang Technological University, ...
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #anomaly #deep
🗓 Publish year: 2025
📗Journal: IEEE Transactions on Knowledge and Data Engineering (I.F. = 10.4)
🧑💻Authors: Hezhe Qiao, Hanghang Tong, Bo An, ...
🏢Universities: Singapore Management University, University of Illinois at Urbana-Champaign, Nanyang Technological University, ...
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #anomaly #deep
👍1
Forwarded from Bioinformatics
📑 A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges
🗓Publish year: 2025
🧑💻Authors: Katherine Berry and Liang Cheng
🏢University: University of Toledo, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #gnn #drug
🗓Publish year: 2025
🧑💻Authors: Katherine Berry and Liang Cheng
🏢University: University of Toledo, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #gnn #drug
👍2
📃 Graph Attention Networks: A Comprehensive Review of Methods and Applications
🗓 Publish year: 2025
📓Journal: Future Internet (I.F. = 3.6)
🧑💻Authors: Aristidis G. Vrahatis,Konstantinos Lazaros & Sotiris Kotsiantis
🏢Universities: Ionian University & University of Patras, Greece
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #attention
🗓 Publish year: 2025
📓Journal: Future Internet (I.F. = 3.6)
🧑💻Authors: Aristidis G. Vrahatis,Konstantinos Lazaros & Sotiris Kotsiantis
🏢Universities: Ionian University & University of Patras, Greece
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #attention
👍2
📄 Network analysis used to investigate the symptoms of cancer patients during chemotherapy: a scoping review
🗓 Publish year: 2025
📘Journal: Discover Oncology (I.F. = 2.9)
🧑💻Authors: Xiaodan Shao, Na Wang, Ke Tang, Kunning Wang,...
🏢Universities: University of South China & Hengyang Medical School, University of South China, China
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #cancer #chemotherapy
🗓 Publish year: 2025
📘Journal: Discover Oncology (I.F. = 2.9)
🧑💻Authors: Xiaodan Shao, Na Wang, Ke Tang, Kunning Wang,...
🏢Universities: University of South China & Hengyang Medical School, University of South China, China
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #cancer #chemotherapy
👍2❤1
📃An Overview of Heterogeneous Social Network Analysis
🗓 Publish year: 2025
📘Journal: WIREs Data Mining and Knowledge Discovery (I.F=11.7 )
🧑💻Authors: Deepti Singh, Ankita Verma
🏢Universities: Jaypee Institute of Information Technology (Deemed University), Noida, Uttar Pradesh, India
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous
🗓 Publish year: 2025
📘Journal: WIREs Data Mining and Knowledge Discovery (I.F=11.7 )
🧑💻Authors: Deepti Singh, Ankita Verma
🏢Universities: Jaypee Institute of Information Technology (Deemed University), Noida, Uttar Pradesh, India
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous
👍3
📽 Introduction to Graph Theory: A Computer Science Perspective
📹 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #basics
📹 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #basics
YouTube
Introduction to Graph Theory: A Computer Science Perspective
In this video, I introduce the field of graph theory. We first answer the important question of why someone should even care about studying graph theory through an application perspective. Afterwards, we introduce definitions and essential terminology in…
❤1👍1