Network Analysis Resources & Updates

📃 Temporal network analysis in systems biology: concepts, inference, and validation 📕 Journal: Frontiers in Bioinformatics (I.F.=3.6) 🗓Publish year: 2026 🧑‍💻Authors: Abir Khazaal, Fatemeh Vafaee 🏢University: University of New South Wales, Sydney, Australia 📎 Study the paper 📲Channel: @Bioinformatics #review #temporal #systems_biology

📄 A Survey of Large Language Models for Data Challenges in Graphs 📕 Journal: Expert Systems with Applications (I.F.=7.5) 🗓Publish year: 2026 🧑‍💻Authors: Mengran Li, Pengyu Zhang, Wenbin Xing, ... 🏢University: Shenzhen Campus of Sun Yat-sen University & Chang’an University, China - University of Amsterdam, Amsterdam, Netherlands - Aarhus University, Denmark 📎 Study the paper 📲Channel: @Bioinformatics #review #llm

📹 Real-World Network Analysis: From Theory to Practice 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #example

📖 A Survey of Graph-Based Frameworks (Representing Higher-Order Networks) 💥Free Book 🗓Publish year: 2026 🧑‍💻Authors: Takaaki Fujita and Florentin Smarandache 🏢University: University of New Mexico, USA 🌐 Study ⚡️Channel: @ComplexNetworkAnalysis #book #framework #graph

📃 Multilayer network science: theory, methods, and applications 📔 Journal: Journal of Complex Networks (I.F.=1.5) 🗓 Publish year: 2026 🧑‍💻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 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #multilayer

📑 Multilayer Networks in Finance: A Systematic Review 🗓 Publish year: 2026 🧑‍💻Authors: J Scattergood & T Oléron-Evans 🏢University: University College London, England 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #multi_layer #finance

📄 Graph Learning in Bioinformatics: A Survey of Graph Neural Network Architectures, Biological Graph Construction and Bioinformatics Applications 📘 Journal: Biomolecules (I.F.=4.8) 🗓Publish year: 2026 🧑‍💻Authors: Lijia Deng, Ziyang Dong, Zhengling Yang, ... 🏢University: University of Electronic Science and Technology of China, China 📎 Study the paper 📲Channel: @Bioinformatics #review #gnn #graph

📃 A Survey on Graph Neural Networks 📙 Journal: IEEE Access (I.F.=3.6) 🗓 Publish year: 2026 🧑‍💻Authors: Xinyang Zhang; Shengrong Li; Haoran Li, ... 🏢Universities: Nanjing University of Aeronautics and Astronautics, China - Monash University & The University of Queensland & University of Wollongong, Australia 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #graph_neural_network #gnn

📹 AI for Complex Network Analysis and prediction 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #ai #prediction

📑 Graph Learning in Bioinformatics: A Survey of Graph Neural Network Architectures, Biological Graph Construction and Bioinformatics Applications 📘 Journal: Biomolecules (I.F.=4.8) 🗓Publish year: 2026 🧑‍💻Authors: Lijia Deng 1ORCID,Ziyang Dong 2,Zhengling Yang, ... 🏢University: University of Electronic Science and Technology of China, China 📎 Study the paper 📲Channel: @Bioinformatics #review #bioinformatics #gnn

📃 Modeling of gene regulatory networks: an annotated glossary 📕 Journal: Trends in Plant Science (🔥I.F.=20.8) 🗓Publish year: 2026 🧑‍💻Authors: Avilash Singh Yadav, Nicholas J. Russell, Adriana I. Hernández, ... 🏢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 📎 Study the paper 📲Channel: @Bioinformatics #review #gene #grn

📃 Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval 🗓 Publish year: 2026 🧑‍💻Authors: Hamed Jelodar, Samita Bai, Mohammad Meymani, ... 🏢University: University of New Brunswick, Canada 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #llm #ai #gnn

🎥 Network Analysis and Visualization 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #visualization #tools

📄 Graph data science in fungal biotechnology: Opportunities and applications 📗 Journal: Biotechnology Advances (I.F.=12.5) 🗓 Publish year: 2026 🧑‍💻Authors: Jui-Tse Ko, Jakob Blæsbjerg Hoof, Anne S. Meyer, ... 🏢University: Technical University of Denmark, Denmark 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #biotechnology

📃 Graph Quantum Machine Learning: A Survey 🗓 Publish year: 2026 🧑‍💻Authors: Georgios Drakopoulos & Phivos Mylonas 🏢University: ICE Department, University of West Attica, Hellas 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #quantum

📑 A survey of blockchain-based solutions for secure social networks 📔 Journal: Scientific African (I.F.=3.3) 🗓 Publish year: 2026 🧑‍💻Authors: Fatima Anter, Fatna El Mendili, Nabil Benamar, ... 🏢University: Moulay Ismail University & Sidi Mohamed Ben Abdellah University, Morocco 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #security #blockchain

📹 Artificial Intelligence for Complex Network: Potential, Methodology and Application​ 💥From ACM SIGWEB 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #ai #artificial_intelligence

📹 Identifying Influential Individuals in Complex Networks 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #influential_node

📄 Network pharmacology in the multi-omics era: uncovering novel therapeutic strategies 📕 Journal: Discover Chemistry (I.F.=4.6) 🗓 Publish year: 2026 🧑‍💻Authors: Kalyani Ramprasad Thombre, Vaishnavi Gabhane, Krishna Radheshyam Gupta, ... 🏢University: Kishoritai Bhoyar College of Pharmacy, India 📎 Study the paper 🗯 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

📃 A survey on learning from graphs with heterophily: recent advances and future directions 📓 Journal: Frontiers of Computer Science (I.F.=4.6) 🗓 Publish year: 2026 🧑‍💻Authors: Cheng-Hua Gong, Yao Cheng, Jian-Xiang Yu, ... 🏢University: East China Normal University & Microsoft Research Asia, China - Nanyang Technological University, Singapore 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #hetrophily