Network Analysis Resources & Updates

📃 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

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#review #llm #ai #gnn

🎥 Network Analysis and Visualization

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📄 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

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#review #biotechnology

📃 Graph Quantum Machine Learning: A Survey

🗓 Publish year: 2026

🧑‍💻Authors: Georgios Drakopoulos & Phivos Mylonas
🏢University: ICE Department, University of West Attica, Hellas

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#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

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#review #security #blockchain

📹 Artificial Intelligence for Complex Network: Potential, Methodology and Application​
💥From ACM SIGWEB

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#video #ai #artificial_intelligence

📄 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

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🗯 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.

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#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

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#review #hetrophily

📑 Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies

🗓 Publish year: 2026

🧑‍💻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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#review #isolation

📃 Transformers for Graph-based Recommender Systems: A Survey

📕 Journal: Machine Intelligence Research (I.F.=8.7)
🗓 Publish year: 2026

🧑‍💻Authors: Lorenzo Zangari, Silvio Raso & Andrea Tagarelli
🏢University: University of Calabria, Italy

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#review #transformer #recommender

🎥 AI in Graph Learning

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#video #graph_learning #ai

📄 Graph-based Spatio-Temporal Analytics: A Systematic Review

📕 Journal: Networks and Spatial Economics (I.F.=1.5)
🗓 Publish year: 2026

🧑‍💻Authors: Farah Ilyana Hairuddin, Suhaibah Azri & Uznir Ujang
🏢University: Universiti Teknologi Malaysia, Johor, Malaysia

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#review #spatio #temporal

📃 Power and Control in Complex Networks: A Taxonomy and Critical Review

🗓 Publish year: 2026

🧑‍💻Authors: Alessio Abeltino, Tiziano Bacaloni, Andrea Bernardini, ...
🏢University: Fondazione Ugo Bordoni, Italy.

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#review #control #power

📑 Graph Transformers: A Survey

📙 Journal: IEEE Transactions on Neural Networks and Learning Systems (I.F.=8.9)
🗓 Publish year: 2025

🧑‍💻Authors: Ahsan Shehzad , Feng Xia, Shagufta Abid, ...
🏢Universities: Dalian University of Technology, China - RMIT University & Federation University Australia, Australia

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#review #transformers

🎥 Introduction to Neural Networks for Scientists

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#video #neural_networks

📃Social Network Analysis: A Novel Paradigm for Improving Community Detection

🗓 Publish year: 2025
📘Journal: International Journal of Computational Intelligence Systems (I.F=3)

🧑‍💻Authors: Rodrigo Hernández , Inmaculada Gutiérrez, Javier Castro

🏢University: Complutense University of Madrid, Spain

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📱Channel: @ComplexNetworkAnalysis
#paper #Community_Detection

📃Navigating the Computational Landscape for Drug Repurposing

📘 Journal: Annual Review of Pharmacology and Toxicology (I.F.=13.1)
🗓Publish year: 2026

🧑‍💻Authors: Andrea Álvarez-Pérez, Lucía Prieto-Santamaría, Ana I. Casas,...
🏢University: Universidad Politécnica de Madrid, Spain - Maastricht University, The Netherlands - University Clinic Essen, Germany - Harvard Medical School, USA

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📲Channel: @Bioinformatics
#review #drug #repurposing

📑 A Topical Review of Graph Embedding in Graph Neural Networks

📗 Journal: IEEE Access (I.F.=3.6)
🗓 Publish year: 2025

🧑‍💻Authors: WB De Lemos, LDAM Ribeiro, VT Da Silva, ...
🏢Universities: Federal University of Rio Grande (FURG) & State University of Maringá (UEM), Brazil

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📄 Graph Neural Networks for Collaborative Filtering: A Survey on Ranking Prediction

📗 Journal: IEEE Access (I.F.=3.6)
🗓 Publish year: 2026

🧑‍💻Authors: Tin T. Tran, Loc Tan Nguyen and Nguyen Ngoc Phien
🏢University: Ton Duc Thang University, Vietnam

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