Network Analysis Resources & Updates

📃A key review on graph data science: The power of graphs in scientific studies

🗓 Publish year: 2023
📘Journal: Chemometrics and Intelligent Laboratory Systems (I.F=3.7)

🧑‍💻Authors: Resul Das, Mucahit Soylu
🏢University: Firat University, Faculty of Technology, Department of Software Engineering, 23119, Elazig, Turkiye and
Inonu University, Organized Industrial Zone Vocational School, Department of Computer Programming, 44280, Malatya, Turkiye

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #data_science #power #Graph #review

📚 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

📃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

📃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

📃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

📃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

📃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

📃Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review

🗓 Publish year: 2024
📘Journal: Logistics (I.F=3.7)

🧑‍💻Authors: Ana Isabel Bento , Carla Cruz , Gabriela Fernandes and Luís Miguel D. F. Ferreira
🏢University: University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Application #Metric #Management #Supply #Chain #review

📃 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

📃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

📃 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

📃Recent advances in network-based methods for disease gene prediction

🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)

🧑‍💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction

🎓 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 Comprehensive Survey on Deep Graph Representation Learning Methods

🗓 Publish year: 2023
📘Journal: Journal of Artificial Intelligence Research

🧑‍💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢University: University of Electronic Science and Technology of China

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey

🎓New graph learning approaches for exploring gene and protein function

📗Doctoral Thesis from ETH Zurich

🗓Publish year: 2024

📎 Study thesis

📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn

📃Graph Neural Networks in Point Clouds: A Survey

🗓 Publish year: 2024
📘Journal: Remote Sensing (4.9 )

🧑‍💻Authors: y Dilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao and Jixiang Du
🏢University: Huaqiao University, Xiamen 361021, China

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Point #Clouds #survey

📃 A Short Survey on Graph Neural Networks Based Stock Market Prediction Models

🗓 Publish year: 2024
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services

🧑‍💻Authors: Lei Zhou, Jian Yu, Samaneh Madanian , Guiling Wang , Sira Yongchareon, Yuqi Zhang
🗺 Country: China , New Zealand

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Stock_Market #Prediction