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📄 A Primer on Bayesian Neural Networks: Review and Debates
📙 Journal: Statistical Science (Impact Factor: 2.32)
🗓 Publish year: 2026
🧑💻Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, ...
🏢Universities: Centre Inria de l’Universit´e Grenoble Alpes & Criteo AI Lab, France - Helmholtz AI, Munich, Gremany
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⚡️Channel: @ComplexNetworkAnalysis
#review #bayesian #neural_network
📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery
📗 Briefings in Bioinformatics (Impact Factor: 7.3, Q1)
🗓 2026
🧑💻 Thanh Nguyen , Hien Minh To , Duy Anh Nguyen ,...
🏢 Nanyang Biologics, Singapore
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⚡️ @ComplexNetworkAnalysis
#review #drug_target #bipartite
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📹 Graph Theory Workshop
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#video #graph
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Graph Theory Workshop
⏰ 🚨 ATTENTION ALL COMP2521 and MATH1081 STUDENTS 🚨 ⏰
Feeling nervous heading into your COMP2521 and MATH1081 finals 😨? Curious about graph algorithms further theory 🗺️?
Find your path to CPMSoc's Mathematics Graph Theory Workshop in Week 10 🔥! If you're…
📄 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
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⚡️ @ComplexNetworkAnalysis
#review #ContrastiveLearning #GNN #SelfSupervisedLearning #GraphNeuralNetworks #RepresentationLearning #MachineLearning
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📹 Graph Engineering
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⚡️Channel: @ComplexNetworkAnalysis
#video #graph_engineering
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What the Heck is Graph Engineering?
Graph engineering is the design of multi-agent systems that link agents, tools, knowledge, and humans via nodes and edges. OpenAI paused Astra over potential cyber capabilities and implemented stricter sandboxing, weight encryption, and chain-of-thought monitoring.…
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