Пост📄 Graph Contrastive Learning: A Comprehensive Review of Methodologies, Applications, and Future Directions

18 августа 2026

Network Analysis Resources & Updates

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📄 Graph Contrastive Learning: A Comprehensive Review of Methodologies, Applications, and Future Directions 📕 IEEE Access (Impact Factor: 4.2, Q2) 🗓 2026 🧑‍💻 Nazmul Hossain, Abdullah Al Thaki, Md. Mamun-Or-Rashid, Md. Mosaddek Khan 🏢 University of Dhaka, Bangladesh 📎 Study the paper ⚡️ @ComplexNetworkAnalysis #review #ContrastiveLearning #GNN #SelfSupervisedLearning #GraphNeuralNetworks #RepresentationLearning #MachineLearning

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Network Analysis Resources & Updates17:52📃 Introduction to Graph Neural Networks for Machine Learning Engineers 📘 Journal: ACM Computing Surveys (🔥I.F.=28) 🗓 Publish year: 2026 🧑‍💻Authors: James Tanis,N

Network Analysis Resources & Updates07:39📹 Graph Engineering 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #graph_engineering

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Network Analysis Resources & Updates13:57📹 Graph Theory Workshop 🎞 Watch ⚡️ @ComplexNetworkAnalysis #video #graph N

Network Analysis Resources & Updates12:44📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery 📗 Briefings in Bioinformatics (Impact Factor: 7.3,