Network Analysis Resources & Updates
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πŸ“ƒ Transformers for Graph-based Recommender Systems: A Survey

πŸ“• Journal: Machine Intelligence Research (I.F.=8.7)
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Publish year: 2026

πŸ§‘β€πŸ’»Authors: Lorenzo Zangari, Silvio Raso & Andrea Tagarelli
🏒University: University of Calabria, Italy

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⚑️Channel: @ComplexNetworkAnalysis
#review #transformer #recommender
πŸ“‘ Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies

πŸ—“ Publish year: 2026

πŸ§‘β€πŸ’»Authors: Xiaodan Wang, Yanbin Liub, Shiqing Wu, ...
🏒University: Yanbian University, China - Auckland University of Technology, New Zealand - University of Tasmania, Australia

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⚑️Channel: @ComplexNetworkAnalysis
#review #isolation
❀2πŸ‘1πŸ”₯1
πŸ“ƒ A survey on learning from graphs with heterophily: recent advances and future directions

πŸ““ Journal: Frontiers of Computer Science (I.F.=4.6)
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Publish year: 2026

πŸ§‘β€πŸ’»Authors: Cheng-Hua Gong, Yao Cheng, Jian-Xiang Yu, ...
🏒University: East China Normal University & Microsoft Research Asia, China - Nanyang Technological University, Singapore

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⚑️Channel: @ComplexNetworkAnalysis
#review #hetrophily
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πŸ“„ Network pharmacology in the multi-omics era: uncovering novel therapeutic strategies

πŸ“• Journal: Discover Chemistry (I.F.=4.6)
πŸ—“ Publish year: 2026

πŸ§‘β€πŸ’»Authors: Kalyani Ramprasad Thombre, Vaishnavi Gabhane, Krishna Radheshyam Gupta, ...
🏒University: Kishoritai Bhoyar College of Pharmacy, India

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πŸ—― Article summary:
Network pharmacology represents a transformative approach in drug discovery, moving away from the traditional "one-drug, one-target" model to a systems-oriented framework that acknowledges the complexity of diseases through the integration of multi-omics data and computational methodologies. This review synthesizes current advancements in network pharmacology, highlighting its potential to enhance drug repurposing, precision medicine, and multi-target therapeutic strategies while addressing challenges related to data quality, methodological biases, and the need for rigorous experimental validation.

⚑️Channel: @ComplexNetworkAnalysis
#review #pharmacology #omics
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πŸ“Ή Artificial Intelligence for Complex Network: Potential, Methodology and Application​
πŸ’₯From ACM SIGWEB

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⚑️Channel: @ComplexNetworkAnalysis
#video #ai #artificial_intelligence
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πŸ“‘ A survey of blockchain-based solutions for secure social networks

πŸ“” Journal: Scientific African (I.F.=3.3)
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Publish year: 2026

πŸ§‘β€πŸ’»Authors: Fatima Anter, Fatna El Mendili, Nabil Benamar, ...
🏒University: Moulay Ismail University & Sidi Mohamed Ben Abdellah University, Morocco

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⚑️Channel: @ComplexNetworkAnalysis
#review #security #blockchain
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πŸ“ƒ Graph Quantum Machine Learning: A Survey

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Publish year: 2026

πŸ§‘β€πŸ’»Authors: Georgios Drakopoulos & Phivos Mylonas
🏒University: ICE Department, University of West Attica, Hellas

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⚑️Channel: @ComplexNetworkAnalysis
#review #quantum
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πŸ“„ Graph data science in fungal biotechnology: Opportunities and applications

πŸ“— Journal: Biotechnology Advances (I.F.=12.5)
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Publish year: 2026

πŸ§‘β€πŸ’»Authors: Jui-Tse Ko, Jakob BlΓ¦sbjerg Hoof, Anne S. Meyer, ...
🏒University: Technical University of Denmark, Denmark

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⚑️Channel: @ComplexNetworkAnalysis
#review #biotechnology
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πŸ“ƒ Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval

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Publish year: 2026

πŸ§‘β€πŸ’»Authors: Hamed Jelodar, Samita Bai, Mohammad Meymani, ...
🏒University: University of New Brunswick, Canada

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⚑️Channel: @ComplexNetworkAnalysis
#review #llm #ai #gnn
πŸ‘2❀1
Forwarded from Bioinformatics
πŸ“ƒ Modeling of gene regulatory networks: an annotated glossary

πŸ“• Journal: Trends in Plant Science (πŸ”₯I.F.=20.8)
πŸ—“Publish year: 2026

πŸ§‘β€πŸ’»Authors: Avilash Singh Yadav, Nicholas J. Russell, Adriana I. HernΓ‘ndez, ...
🏒Universities: Cornell University & Louisiana State University Agricultural Center & University of Pennsylvania, USA - Max Planck Institute for Plant Breeding Research & Humboldt University of Berlin, Germany - Zhejiang University, China

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πŸ“²Channel: @Bioinformatics
#review #gene #grn
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πŸ“‘ Graph Learning in Bioinformatics: A Survey of Graph Neural Network Architectures, Biological Graph Construction and Bioinformatics Applications

πŸ“˜ Journal: Biomolecules (I.F.=4.8)
πŸ—“Publish year: 2026

πŸ§‘β€πŸ’»Authors: Lijia Deng 1ORCID,Ziyang Dong 2,Zhengling Yang, ...
🏒University: University of Electronic Science and Technology of China, China

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⚑️Channel: @ComplexNetworkAnalysis
#review #bioinformatics #gnn