Network Analysis Resources & Updates
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πŸ“„ Graph Neural Networks Applications Across Domains: All Insights You Need

πŸ“• Journal: arXiv preprint (not yet peer-reviewed)
πŸ—“ Publish year: 2026

πŸ§‘β€πŸ’»Authors: Abderaouf Bahi
🏒University: Chadli Bendjedid University of El Tarf, Algeria

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⚑️Channel: @ComplexNetworkAnalysis
#GNN #GraphNeuralNetworks #Survey
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πŸ“ƒ Introduction to Graph Neural Networks for Machine Learning Engineers

πŸ“˜ Journal: ACM Computing Surveys (πŸ”₯I.F.=28)
πŸ—“
Publish year: 2026

πŸ§‘β€πŸ’»Authors: James Tanis, Chris Giannella, Adrian Mariano, ...
🏒Universities: The MITRE Corporation - National Cancer Institute Shady Grove Campus, United States

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⚑️Channel: @ComplexNetworkAnalysis
#review #graph_neural_network #machine_learning
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πŸ“„ Graph Contrastive Learning: A Comprehensive Review of Methodologies, Applications, and Future Directions

πŸ“• IEEE Access (Impact Factor: 4.2, Q2)
πŸ—“ 2026
πŸ§‘β€πŸ’» Nazmul Hossain, Abdullah Al Thaki, Md. Mamun-Or-Rashid, Md. Mosaddek Khan
🏒 University of Dhaka, Bangladesh

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⚑️ @ComplexNetworkAnalysis
#review #ContrastiveLearning #GNN #SelfSupervisedLearning #GraphNeuralNetworks #RepresentationLearning #MachineLearning
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πŸ“ƒ Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery

πŸ“— Briefings in Bioinformatics (Impact Factor: 7.3, Q1)
πŸ—“ 2026
πŸ§‘β€πŸ’» Thanh Nguyen , Hien Minh To , Duy Anh Nguyen ,...
🏒 Nanyang Biologics, Singapore

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⚑️ @ComplexNetworkAnalysis
#review #drug_target #bipartite
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πŸ“„ A Primer on Bayesian Neural Networks: Review and Debates

πŸ“™ Journal: Statistical Science (Impact Factor: 2.32)
πŸ—“ Publish year: 2026

πŸ§‘β€πŸ’»Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, ...
🏒Universities: Centre Inria de l’UniversitΒ΄e Grenoble Alpes & Criteo AI Lab, France - Helmholtz AI, Munich, Gremany

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⚑️Channel: @ComplexNetworkAnalysis
#review #bayesian #neural_network
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