Network Analysis Resources & Updates - Статистика и аналитика Telegram-канала @complexnetworkanalysis

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📄 A systematic literature review of methods and datasets for anomaly-based network intrusion detection 📘 Journal: Computers & Security (I.F=5.6) 🗓 Publish year: 2022 🧑‍💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han 🏢University: Beijing University of Technology, Beijing, China 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #anomaly #intrusion #review

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📄 A systematic literature review of methods and datasets for anomaly-based network intrusion detection 📘 Journal: Computers & Security (I.F=5.6) 🗓 Publish year: 2022 🧑‍💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han 🏢University: Beijing University of Technology, Beijing, China 📎 Study the paper 📱Channel: @Bioinformatics #paper #anomaly #intrusion #review

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📄 A systematic literature review of methods and datasets for anomaly-based network intrusion detection 📘 Journal: Computers & Security (I.F=5.6) 🗓 Publish year: 2022 🧑‍💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han 🏢University: Beijing University of Technology, Beijing, China 📎 Study the paper 📱Channel: @Bioinformatics #review #anomaly #intrusion #review

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📄An Interactive Visualisation for Your Graph Neural Network Explanations 💥Technical paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Visualisation #Graph_Neural_Network

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Repost from Bioinformatics

📄 A comprehensive review on knowledge graphs for complex diseases 📘 Journal: Briefings in Bioinformatics (I.F.=9.5) 🗓 Publish year: 2023 🧑‍💻Authors: Yang Yang, Yuwei Lu, Wenying Yan 🏢University: Soochow University, Suzhou, China 📎 Study the paper 📲Channel: @Bioinformatics #review #knowledge_graph #diease

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📃 Graph Neural Network: A Comprehensive Review on Non-Euclidean Space 📔 Journal: IEEE ACCESS (I.F.=3.9) 🗓 Publish year: 2021 🧑‍💻Authors: Nurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan, Md. Hafiz Ahamed, Dip K. Saha, Faisal R. Badal, Sajal K. Das, Md. Firoz Ali, Sumaya I. Moyeen, Md. Robiul Islam, Zinat Tasneem 🏢Universities: Rajshahi University of Engineering & Technology, University of New South Wales (UNSW) at Canberra 📎 Study the paper 📱Channel: @Bioinformatics #paper #GNN #Non_Euclidean #review

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📹 Graph Embedding For Machine Learning in Python 💥In this video, you will be learn how to embed graphs into n-dimensional space to use them for machine learning. 🎞 Watch 📲Channel: @ComplexNetworkAnalysis #video #Graph_Embedding #Machine_Learning

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📃 A Review of Link Prediction Applications in Network Biology 🗓 Publish year: 2023 🧑‍💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh 🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #review #Network_Biology #Link_Prediction

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📄Network embedding: Taxonomies, frameworks and applications 📘 Journal: Computer Science Review (I.F= 12.9) 🗓Publish year: 2020 👩‍🎓Authors: Mingliang Hou (Dalian University of Technology), Jing Ren (Dalian University of Technology), Da Zhang (University of Miami), Xiangjie Kong (Zhejiang University of Technology), Dongyu Zhang (Dalian University of Technology), Feng Xia (Federation University Australia) 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #embedding #Taxonomies #frameworks #applications

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📄A Survey on Hypergraph Mining: Patterns, Tools, and Generators 🗓Publish year: 2024 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Hypergraph #Patterns #Tools #Generators #Survey

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📄Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions 🗓Publish year: 2023 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Biomedicine #GRL

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📄A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions 📘 Journal: J BIG DATA-GER (I.F= 8.1) 🗓Publish year: 2024 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #architectures #applications #future #review

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Repost from Bioinformatics

📹 Graph Neural Networks in Computational Biology 💥Recorded webinar from Imperial College Computational Biology Society 🎞 Watch 📲Channel: @Bioinformatics #video #gnn

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📄Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches 📘 Journal: Electronics (I.F=10.835) 🗓Publish year: 2022 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Recommendation_Systems #Deep_Learning #Review

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📄A survey on deep learning based Point-of-Interest (POI) recommendations 📘 Journal: Neurocomputing (I.F= 6) 🗓Publish year: 2020 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Deep_learning #POI #recommendation #survey

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📄A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions 📘 Journal: Journal of Big Data (I.F=10.835) 🗓Publish year: 2024 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #GNN #GraphSage #GAT #Survey

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📄A Survey on Hyperlink Prediction 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Hyperlink #prediction #survey

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📄A Survey on Hyperlink Prediction 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Hyperlink #prediction #survey

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📄Machine Learning for Refining Knowledge Graphs: A Survey 📘 Journal: acm digital library (I.F=14.324) 🗓Publish year: 2020 📎Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Machine_Learning #Knowledge_Graphs #Survey

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📄What Are Higher-Order Networks? 📘 Journal: SIAM Review 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Higher_Order_Networks