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πŸ“‘ Signed Networks: theory, methods, and applications

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Fernando Diaz-Diaz, Elena Candellone Miguel A. GonzΒ΄alez-Casado, ...
🏒Universities: Universidad Carlos III de Madrid & Institute of Cross-Disciplinary Physics and Complex Systems & Universitat Pompeu Fabra & Universitat de Barcelona, Spain- Utrecht University, Netherlands

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⚑️Channel: @ComplexNetworkAnalysis
#review #signed
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πŸ“ƒ From Static to Dynamic: Exploring Temporal Networks in Systems Biology

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Abir Khazaal, Fatemeh Vafaee
🏒University: University of New South Wales (UNSW), Sydney, Australia

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⚑️Channel:
@ComplexNetworkAnalysis
#review #temporal #systems_biology
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πŸ“„ A Systematic Survey on Generative Models for Graph Generation

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Jiarui Ji, Wenda Wang, Runlin Lei,..
🏒University: Renmin University of China, China

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⚑️Channel: @ComplexNetworkAnalysis
#review #chatgpt #generative_ai
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πŸ“ƒA network-based analysis anticipates time to recovery from major depression revealing a plasticity by context interplay

πŸ—“ Publish year: 2025
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Journal: translational psychiatry (I.F=6.2)

πŸ§‘β€πŸ’»Authors: Claudia Delli Colli, Aurelia Viglione, Silvia Poggini, Francesca Cirulli, Flavia Chiarotti, Alessandro Giuliani & Igor Branchi

🏒University: Sapienza University of Rome, Rome, Ital

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Depression #Time #plasticity #context_interplay #Review
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πŸ“‘ Prediction and inference in complex networks: a brief review and perspectives

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Author: Francisco A. Rodrigues
🏒University: Universidade de S˜ao Paulo, Brazil

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⚑️Channel: @ComplexNetworkAnalysis
#review #prediction #inference
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πŸŽ“ Modeling biomedical data with graph machine learning

πŸ“•PhD thesis from Technische UniversitΓ€t MΓΌnchen (TUM), Germany

πŸ—“Publish year: 2025

πŸ“Ž Study thesis

⚑️Channel: @ComplexNetworkAnalysis
#thesis #biomedical #machine_learning
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πŸ“ƒ Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Author: Guangxin Su, Hanchen Wang, Jianwei Wang, ...
🏒University: The University of New South Wales - The University of Technology Sydney, Australia & Duke University, USA

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⚑️Channel: @ComplexNetworkAnalysis
#review #llm
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πŸ“‘ LLMs for Social Network Analysis: Mapping Relationships from Unstructured Survey Response

πŸ“— Journal: Applied Sciences (I.F.=2.5)
πŸ—“Publish year: 2026

πŸ§‘β€πŸ’»Authors: Ana MeΕ‘troviΔ‡, Slobodan Beliga, Dino Pitoski
🏒University: University of Rijeka, Croatia

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⚑️Channel: @ComplexNetworkAnalysis
#review #llm #chatgpt
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πŸ“ƒ LLM-empowered knowledge graph construction: A survey

πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Haonan Bian
🏒University: Xidian University, China

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⚑️Channel: @ComplexNetworkAnalysis
#review #llm #knowledge_graph
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πŸ“„ Network renormalization

πŸ““ Journal: Nature reviews physics (πŸ”₯I.F.=39.5)
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Publish year: 2025

πŸ§‘β€πŸ’»Authors: Andrea Gabrielli, Diego Garlaschelli, Subodh P. Patil, ...
🏒Universities: Universit`a degli Studi β€˜Roma Tre’ & Istituto dei Sistemi Complessi (ISC), Italy - University of Leiden, The Netherlands - Universitat de Barcelona Institute of Complex Systems (UBICS), Spain

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⚑️Channel: @ComplexNetworkAnalysis
#review #normalization
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Forwarded from Bioinformatics
πŸ“„ A comprehensive survey of gene co-expression network analysis: methods, tools, challenges, and future directions

πŸ“” Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F.=2)
πŸ—“Publish year: 2025

πŸ§‘β€πŸ’»Authors: Pallabi Patowary, Dhruba K. Bhattacharyya & Jugal Kumar Kalita
🏒Universities: Golaghat Engineering College & Tezpur University, India - University of Colorado, USA

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πŸ“²Channel: @Bioinformatics
#review #co_expression #gene
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