🎓 Graph Neural Networks in Intrusion Detection

📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024

🧑‍💻Author: Nuno Ferreira
🏢University: University of Porto in Portugal

📎Study Thesis

📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Intrusion_Detection

📃 A survey on visualization approaches for exploring association relationships in graph data

🗓 Publish year: 2019
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services

🧑‍💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: China

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey #visualization #Graph_data

📃The Review of Ecological Network Indicators in Graph Theory
Context: 2014-2019

🗓 Publish year: 2021
📘Journal: International Journal of Environmental Research (IJER) (I.F=2.6)

🧑‍💻Authors: Hassan Darabi, Rastgar Hashemi, Faroq Lotfi
🏢University: University of Tehran, Iran

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Ecological_Network #Indicators

📃 FairSNA: Algorithmic Fairness in Social Network Analysis

🗓 Publish year: 2024
📘 Journal: ACM Computing Surveys (I.F=23,8)

🧑‍💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: Netherlands

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Fairness #Social_Network_Analysis

📃Network biology: Recent advances and challenges

🗓 Publish year: 2022
📘Journal: Gene & Protein in Disease (GPD)

🧑‍💻Author: Pei Wang
🏢University: Henan University, Kaifeng, P.R. China

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #biology #advances #challenges

📃Community detection in social networks using machine learning: a systematic mapping study

🗓 Publish year: 2024
📘Journal: Knowledge and Information Systems (I.F=2.5)

🧑‍💻Authors: Mahsa Nooribakhsh, Marta Fernández-Diego, Fernando González-Ladrón-De-Guevara. Mahdi Mollamotalebi
🏢University: Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain and Islamic Azad University, Qazvin, Iran

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Community_detection #Machine_learning #mapping

📃Use of social network analysis in health research: a scoping review protocol

🗓 Publish year: 2024
📘Journal: BMJ Open (I.F=2.4)

🧑‍💻Authors: Eshleen Grewal, Jenny Godley, Justine Wheeler, Karen L Tang
🏢University: University of Calgary, Calgary, Alberta, Canada

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #health #protocol #scoping_review

📃Graph Network Techniques to Model and Analyze Emergency Department Patient Flow

🗓 Publish year: 2022
📘Journal: Mathematics (I.F=2.3)

🧑‍💻Authors: Iris Reychav , Roger McHaney, Sunil Babbar, Krishanthi, Weragalaarachchi, Nadeem Azaizah and Alon Nevet
🏢University: Ariel University, Israel and Kansas State University, Manhattan, USA

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Techniques #Emergency #Patient_Flow

📃Complex network analysis of cryptocurrency market during crashes

🗓 Publish year: 2024

🧑‍💻Authors: Kundan Mukhia, Anish Rai, SR Luwang, Md Nurujjaman, Sushovan Majhi, Chittaranjan Hens
🏢University: National Institute of Technology, 737139, Sikkim, India
The George Washington University, Washington, DC, 20052, Washington, USA
International Institute of Information Technology , Hyderabad, 500032, Telangana, India

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #cryptocurrency #crashes

📚 Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
💥 Book Chapter from IMIA Yearbook of Medical Informatics

🗓Publish year: 2023

🧑‍💻Authors: Fang Li , Yi Nian , Zenan Sun , Cui Tao
🏢University: University of Texas Health Science Center at Houston, USA

📎 Study the Chapter

📲Channel: @Bioinformatics
#book #chapter #Graph_representation_learning #biomedicine

🎞Graph Neural Networks in Computational Biology: A Personal Perspective

💥Free recorded tutorial by Petar Veličković

💥Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the back-bone for machine learning applications in drug discovery, modeling of small molecules, and more broader applications of computational biology.

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #GNN #Computational #Biology #perspective

📃Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective

🗓 Publish year: 2024
📘Journal: Informatics and Health

🧑‍💻Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang
🏢University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous #biomedical #data_mining #review

🎞 Graphs and networks. Graph-theoretical approach. Complex network analysis

💥Complex network analysis by Maksym Tsizh

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #Graph

🎓Network Inference And Graph Learning in Characterising Alzheimer’s Disease

📕PhD Thesis form Coventry University, England

🗓Publish year: 2024

📎 Study thesis

⚡️Channel: @ComplexNetworkAnalysis
#thesis #Alzheimer #inference

🎞 Graph Neural Networks with Missing Node Features

💥Free recorded tutorial by Emanuele Rossi

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #GNN #Node #Feature