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πŸ“˜ Introduction to Random Graphs
πŸ’₯ Free online book by Carnegie Mellon University, 2025

🌐 Study

⚑️Channel: @ComplexNetworkAnalysis
#book #graph #random
πŸ“ƒInformation diffusion analysis: process, model, deployment, and application

πŸ“— Journal:The Knowledge Engineering Review (I.F.=2.8)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, ...
🏒Universities: Thapar Institute of Engineering & Technology, Bennett University, India

πŸ“Ž Study the paper

⚑️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
🎞 Introduction to Social Network Analysis


πŸ’₯This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.

πŸ’₯In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major theories and conceptual approaches to using ego-centric and sociometric network data for those new to considering networks.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis
#video
Forwarded from Bioinformatics
πŸ“ƒ Biological Multi-Layer and Single Cell Network-Based Multiomics Models - a Review

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Marcello Barylli, Joyaditya Saha, Tineke E. Buffart , ...
🏒Universities: University of Amsterdam - Amsterdam University Medical Centers - Oncode Institute, Netherlands

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #multiomics #network #multi_layer #single_cell
Forwarded from Bioinformatics
πŸ“„Graph neural networks for single-cell omics data: a review of approaches and applications

πŸ“™ Journal: Briefings in Bioinformatics (I.F.=6.8)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Sijie Li, Heyang Hua, Shengquan Chen
🏒Universities: Nankai University, China

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #gnn #single_cell #omic
πŸ“ƒA Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions

πŸ“• Journal:IEEE Transactions on Knowledge and Data Engineering (I.F.=8.9)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Zemin Liu; Yuan Li; Nan Chen, ...
🏒Universities: National University of Singapore

πŸ“Ž Study the paper
πŸ“¦ Github
πŸ’₯ Early access

⚑️Channel: @ComplexNetworkAnalysis
#review #imbalanced #learning #graph
πŸ“š A Simple Introduction to Graph Theory
πŸ’₯Booklet

πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»
Author: Brian Heinold
🏒University: Mount Saint Mary's University, USA

🌐 Study

⚑️Channel: @ComplexNetworkAnalysis
#book #booklet #graph
πŸ‘1
πŸ“ƒA Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

πŸ—“ Publish year: 2024
πŸ“˜
Journal: Mechanical Systems and Signal Processing(I.F=7.9)

πŸ§‘β€πŸ’»Authors: Yucheng Wang, Min Wu, Xiaoli Lia, Lihua Xie and Zhenghua Chen

🏒Universities: Nanyang Technological University, Singapore

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #prediction #Remaining #Life #future #Survey
πŸ“„ Network-based multi-omics integrative analysis methods in drug discovery: a systematic review

πŸ“— Journal: BioData Mining (I.F.=4)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
🏒Universities: Hubei University- Sun Yat-sen University, China

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⚑️Channel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
πŸ‘2❀1πŸ‘1
πŸ“„Knowledge Graph Construction: Extraction, Learning, and Evaluation

πŸ“™ Journal: Applied Sciences (I.F.=2.5)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Seungmin Choi and Yuchul Jung
🏒Universities: Kumoh National Institute of Technology, Republic of Korea

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⚑️Channel: @ComplexNetworkAnalysis
#review #knowledge_graph
πŸ“ƒGraph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Md Shahir Zaoad, Niamat Zawad, Priyanka Ranade, ...
🏒Universities: University of Texas - The Laboratory for Physical Sciences, Baltimore, USA

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⚑️Channel: @ComplexNetworkAnalysis
#review #ranking
❀1
πŸ“ƒStakeholder and social network analysis for understanding forest (fires) management – A contribution based on a systematic literature review

πŸ—“ Publish year: 2025
πŸ“˜
Journal: Forest Policy and Economics(I.F=4)

πŸ§‘β€πŸ’»Authors: C. Campos Fernandes, S. Valente, E. Figueiredo, A. Polido

🏒Universities: University of Aveiro, Portugal

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Stakeholder #forest #contribution #management #review
πŸ“ƒA Review of Link Prediction Applications in Network Biology

πŸ“• Journal: IEEE Access (I.F.=3.4)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Ahmad F. Al Musawi; Satyaki Roy; Preetam Ghosh
🏒Universities: University of Thi-Qar, Iraq - Virginia Commonwealth University & The University of Alabama in Huntsville, USA

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⚑️Channel: @ComplexNetworkAnalysis
#review #link_prediction #biology
πŸ‘1