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Network Analysis Resources & Updates

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📃A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches 🗓 Publish
📃A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches 🗓 Publish year: 2024 🧑‍💻Authors: Bin Wu, Sifu Luo and C. Steve Suh 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Propagation_Models #Deterministic #Deep_learning #review

📃A Survey on Graph Neural Networks for Intrusion Detection Systems: Methods, Trends and Challenges 🗓 Publish year: 2024 📘J
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📃A Survey on Graph Neural Networks for Intrusion Detection Systems: Methods, Trends and Challenges 🗓 Publish year: 2024 📘Journal: Computers & Security (I.F=4.8) 🧑‍💻Authors: Meihui Zhong, Mingwei Lin, Chao Zhang, Zeshui Xu 🏢Universities: Fujian Normal University, Fuzhou, 350117, Fujian, China. Shanxi University, Taiyuan, 030006, Shanxi, China. Sichuan University, Chengdu, 610064, Sichuan, China. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Intrusion_Detection_Systems #Trends #Challenges #survey

🎞 Social Networks and Health 2024 💥Free recorded tutorial on social network 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Health

📄Network Analysis in R and Python 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Python #code

📄Network Analysis Visualization 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Python #code #Visualization

🎓Graph Data Science and machine learning applications 📕Master Degree Thesis by Antonella Cardillo form POLITECNICO DI TORIN
🎓Graph Data Science and machine learning applications 📕Master Degree Thesis by Antonella Cardillo form POLITECNICO DI TORINO 🗓Publish year: 2024 📎 Study thesis 📲Channel: @ComplexNetworkAnalysis #thesis #Graph #machine_learning #Data_Science

📃A Comprehensive Survey on Automatic Knowledge Graph Construction 🗓 Publish year: 2023 🧑‍💻Authors: LINGFENG ZHONG, JIA WU
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📃A Comprehensive Survey on Automatic Knowledge Graph Construction 🗓 Publish year: 2023 🧑‍💻Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU 🏢Universities: Macquarie University, Beihang University, Hefei University of Technology 📎 Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph #knowledge_graph #Survey

📄Getting started with graph analysis in Python with pandas and networkx 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Python #code

🎞 Theoretical Foundations of Graph Neural Networks 💥Free recorded tutorial by Petar Veličković 💥Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines. 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #GNN #Theoretical #Foundations

Repost from Bioinformatics
📃Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives 📘Journal: IEEE/ACM Transactions on Compu
📃Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives 📘Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics (I.F.=3.6) 🗓Publish year: 2024 🧑‍💻Authors: Yen-Che Hsiao; Abhishek Dutta 🏢University: University of Connecticut, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #pathway #network

📃Artificial Intelligence for Complex Network: Potential, Methodology and Application 🗓 Publish year: 2024 🧑‍💻Authors: Jin
📃Artificial Intelligence for Complex Network: Potential, Methodology and Application 🗓 Publish year: 2024 🧑‍💻Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li 🏢Universities: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist)China 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #AI #Application

📃Fake news detection: A survey of graph neural network methods 🗓 Publish year: 2023 📘Journal: Fake news detection: A surve
📃Fake news detection: A survey of graph neural network methods 🗓 Publish year: 2023 📘Journal: Fake news detection: A survey of graph neural network methods (I.F=7.2) 🧑‍💻Authors: Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang 🏢Universities: Yeungnam University, Gyeongsan, South Korea. Nguyen Tat Thanh University, Ho Chi Minh, Vietnam. Wroclaw University of Science and Technology, Wroclaw, Poland. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Fake_news #GNN #survey

📃Graph neural network based intelligent tutoring system: A survey 🗓 Publish year: 2024 📘Journal: Neurocomputing (I.F=5.5)
📃Graph neural network based intelligent tutoring system: A survey 🗓 Publish year: 2024 📘Journal: Neurocomputing (I.F=5.5) 🧑‍💻Authors: Juhua Pu a, Shufei Li a, Meng Guo a, Xi Chen a, Zhang Xiong 🏢Universities: Beihang University, China. University of International Business and Economics, China. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #tutoring_system #survey

📃Large Language Models on Graphs: A Comprehensive Survey 🗓 Publish year: 2023 📘Journal: Computation and Language (I.F=1.8)
📃Large Language Models on Graphs: A Comprehensive Survey 🗓 Publish year: 2023 📘Journal: Computation and Language (I.F=1.8) 🧑‍💻Authors: Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Language_Models #survey

📃A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting 🗓 Publish year: 2024 📘Journal: ACM
📃A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting 🗓 Publish year: 2024 📘Journal: ACM Computing Surveys (I.F=23.8) 🧑‍💻Authors: : Manali Patel, Krupa Jariwala, CHIRANJOY CHATTOPADHYAY 🏢Universities: Sardar Vallabhbhai National Institute of Technology, Surat, India. FLAME University, Pune, India. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Stock_Market #Forecasting #review

📕Learning Analytics Methods and Tutorials 🗓Publish year: 2024 📎 Study the book 📱Channel: @ComplexNetworkAnalysis #book #L
📕Learning Analytics Methods and Tutorials 🗓Publish year: 2024 📎 Study the book 📱Channel: @ComplexNetworkAnalysis #book #Learning #Analytics #Method #Tutorials

📃Graph structural complexity 🗓 Publish year: 2024 🧑‍💻Authors: Andrew Snarskii 🏢Universities: The National Technical Univ
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📃Graph structural complexity 🗓 Publish year: 2024 🧑‍💻Authors: Andrew Snarskii 🏢Universities: The National Technical University of Ukraine 📎 Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph #complexity #structural

📄Graph Clustering Algorithms: Usage and Comparison 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Clustering

📃Survey on Graph Neural Networks 🗓 Publish year: 2024 📘Journal: Journal of Cleaner Production (I.F=9.7) 🧑‍💻Authors: G. G
📃Survey on Graph Neural Networks 🗓 Publish year: 2024 📘Journal: Journal of Cleaner Production (I.F=9.7) 🧑‍💻Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS 🏢Universities: Information Technologies Institute (IT) 📎 Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph #GNN #Survey

📃A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation 🗓 Publish year: 2024 🧑‍💻Authors:
📃A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation 🗓 Publish year: 2024 🧑‍💻Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin 🏢Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey