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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)
πŸ—“
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
πŸ‘2
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“‘ 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
πŸ‘2
πŸ“ƒ Graph Quantum Machine Learning: A Survey

πŸ—“
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)
πŸ—“
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
❀3
πŸ“ƒ Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval

πŸ—“
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‘3❀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
πŸ‘2
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
πŸ“ƒ A Survey on Graph Neural Networks

πŸ“™ Journal: IEEE Access (I.F.=3.6)
πŸ—“
Publish year: 2026

πŸ§‘β€πŸ’»Authors: Xinyang ZhangShengrong LiHaoran Li, ...
🏒Universities: Nanjing University of Aeronautics and Astronautics, China - Monash University & The University of Queensland & University of Wollongong, Australia

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⚑️Channel: @ComplexNetworkAnalysis
#review #graph_neural_network #gnn
πŸ‘1
Forwarded from Bioinformatics
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, Ziyang Dong, Zhengling Yang, ...
🏒University: University of Electronic Science and Technology of China, China

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πŸ“²Channel: @Bioinformatics
#review #gnn #graph
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πŸ“‘ Multilayer Networks in Finance: A Systematic Review

πŸ—“
Publish year: 2026

πŸ§‘β€πŸ’»Authors: J Scattergood & T OlΓ©ron-Evans
🏒University: University College London, England

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⚑️Channel: @ComplexNetworkAnalysis
#review #multi_layer #finance
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πŸ“ƒ Multilayer network science: theory, methods, and applications

πŸ“” Journal: Journal of Complex Networks (I.F.=1.5)
πŸ—“
Publish year: 2026

πŸ§‘β€πŸ’»Authors: Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda, ... (17 Authors)
🏒University: University of Zaragoza, Spain - Northeastern University London & Northeastern University, United Kingdom & United States - Universidade de Lisboa, Portugal, University of Campinas, Brazil, Aix-Marseille University, France, Institute for Scientific Interchange (ISI), Italy

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⚑️Channel: @ComplexNetworkAnalysis
#review #multilayer
πŸ‘2❀1
πŸ“– A Survey of Graph-Based Frameworks (Representing Higher-Order Networks)
πŸ’₯Free Book

πŸ—“Publish year: 2026

πŸ§‘β€πŸ’»
Authors: Takaaki Fujita and Florentin Smarandache
🏒University: University of New Mexico, USA

🌐 Study

⚑️Channel: @ComplexNetworkAnalysis
#book #framework #graph
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