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A Comprehensive Survey on Node Classification Methods, Applications, and Challenges: From Traditional Approaches to Graph Neu
A Comprehensive Survey on Node Classification Methods, Applications, and Challenges: From Traditional Approaches to Graph Neural Network and Beyond 🗓 Publish year: 2025 🧑‍💻Authors: Aman Singh, Shahid Shafi Dar, Shubhi Bansal,... 🏢University: Indian Institute of Technology (IIT), India 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #node #classification

Repost from Bioinformatics
📽 Metabolic Networks 🎞 Watch 📲Channel: @Bioinformatics #video #metabolic

📃 A Survey of Link Prediction in N-ary Knowledge Graphs 🗓 Publish year: 2025 🧑‍💻Authors: Jiyao Wei, Saiping Guan, Da Li,.
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📃 A Survey of Link Prediction in N-ary Knowledge Graphs 🗓 Publish year: 2025 🧑‍💻Authors: Jiyao Wei, Saiping Guan, Da Li,... 🏢University: University of Chinese Academy of Sciences, China 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #link_prediction #n_ary #knowledge_graph

Repost from Bioinformatics
📄 Web-based graphical user interface for visualizing and analyzing chemical reaction networks 📘Journal: Reaction Chemistry
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📄 Web-based graphical user interface for visualizing and analyzing chemical reaction networks 📘Journal: Reaction Chemistry & Engineering (I.F.=3.4) 🗓Publish year: 2025 🧑‍💻Authors: Akihiro Honda, Mikael Kuwahara, Yoshiki Hasukawa, ... 🏢Universities: Hokkaido University, Japan 📎 Study the paper 📦 Code 📲Channel: @Bioinformatics #tool #web #visualiztion #chemical

Repost from Bioinformatics
📑 Graph Neural Networks in Modern AI-aided Drug Discovery 🗓Publish year: 2025 🧑‍💻Authors: Odin Zhang, Haitao Lin, Xujun Z
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📑 Graph Neural Networks in Modern AI-aided Drug Discovery 🗓Publish year: 2025 🧑‍💻Authors: Odin Zhang, Haitao Lin, Xujun Zhang, ... 🏢Universities: Zhejiang University, Hangzhou & Westlake University, China - Harvard University, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #drug #ai #gnn #graph_neural_network

📄 Network controllability of structured networks: a survey on graph-theoretical approaches 📘Journal: Taylor & Francis (I.F.
📄 Network controllability of structured networks: a survey on graph-theoretical approaches 📘Journal: Taylor & Francis (I.F.=4) 🗓Publish year: 2024 🧑‍💻Authors: Nam-Jin Park, Hyo-Sung Ahn 🏢Universities: Gwangju Institute of Science and Technology 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #survey #controllability #graph_theoretical

Repost from Bioinformatics
📄 Web-based graphical user interface for visualizing and analyzing chemical reaction networks 📘Journal: Reaction Chemistry
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📄 Web-based graphical user interface for visualizing and analyzing chemical reaction networks 📘Journal: Reaction Chemistry & Engineering (I.F.=3.4) 🗓Publish year: 2025 🧑‍💻Authors: Akihiro Honda, Mikael Kuwahara, Yoshiki Hasukawa, ... 🏢Universities: Hokkaido University, Japan 📎 Study the paper 📦 Code 📲Channel: @Bioinformatics #tool #web #visualiztion #chemical

📃 A Survey onthe Application of Reinforcement Learning in Recommendation Systems 🗓 Publish year: 2025 🧑‍💻Author: Siddhant
📃 A Survey onthe Application of Reinforcement Learning in Recommendation Systems 🗓 Publish year: 2025 🧑‍💻Author: Siddhanth Darshan Jain Gouder Nagpal 🏢University: Portland State University, USA 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #recommender_system #reinforcement

💥 ‏The paper link is corrected

💥 ‏The paper link is corrected

📄 Big Data meets Social Networks: A Survey of Analytical Strategies and Research Challenges 📘 Journal: IEEE Access (I.F.=3.
📄 Big Data meets Social Networks: A Survey of Analytical Strategies and Research Challenges 📘 Journal: IEEE Access (I.F.=3.4) 🗓 Publish year: 2025 🧑‍💻Authors: Shashank Sheshar Singh, Shashank Singh, Kuldeep Singh, ... 🏢Universities: Thapar Institute of Engineering & Technology & University of Delhi & Motilal Nehru National Institute of Technology & Manipal University Jaipur , India 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #bigdata

📃Graph Learning for Fake Review Detection 🗓 Publish year: 2022 📘Journal: Frontiers in Artificial Intelligence(I.F=3) 🧑‍💻
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📃Graph Learning for Fake Review Detection 🗓 Publish year: 2022 📘Journal: Frontiers in Artificial Intelligence(I.F=3) 🧑‍💻Authors: Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia 🏢Universities: Dalian University of Technology, China. Federation University Australia, Australia. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Fake #Detection #review

Repost from Bioinformatics
📑 A review of methods for gene regulatory networks reconstruction and analysis 📕 Journal: Artificial Intelligence Review (I
📑 A review of methods for gene regulatory networks reconstruction and analysis 📕 Journal: Artificial Intelligence Review (I.F.=10.7) 🗓Publish year: 2025 🧑‍💻Authors: Sura I. Mohammed Ali & Sura Zaki Alrashid 🏢Universities: University of Babylon, Iraq 📎 Study the paper 📲Channel: @Bioinformatics #review #gene #grn #gene_regulatory

📑Sentiment Diffusion in Online Social Networks: A Survey from the Computational Perspective 📘 Journal: ACM Computing Survey
📑Sentiment Diffusion in Online Social Networks: A Survey from the Computational Perspective 📘 Journal: ACM Computing Surveys (🔥I.F.=23.8) 🗓 Publish year: 2025 🧑‍💻Authors: Han Xu, Minghua Xu, Xianjun Deng, ... 🏢Universities: Huazhong University of Science and Technology, China 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #sentiment #diffusion

📄Heterogeneous network approaches to protein pathway prediction 📕 Journal: Computational and Structural Biotechnology Journ
📄Heterogeneous network approaches to protein pathway prediction 📕 Journal: Computational and Structural Biotechnology Journal (I.F.=4.5) 🗓 Publish year: 2025 🧑‍💻Authors: Gowri Nayar, Russ B. Altman 🏢Universities: Stanford University, United States 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #protein #pathway

📄 Graph Foundation Models: A Comprehensive Survey 🗓 Publish year: 2025 🧑‍💻Authors: Zehong Wang, Zheyuan Liu, Tianyi Ma, .
📄 Graph Foundation Models: A Comprehensive Survey 🗓 Publish year: 2025 🧑‍💻Authors: Zehong Wang, Zheyuan Liu, Tianyi Ma, ... 🏢Universities: University of Notre Dame, University of Connecticut, University of Virginia, University of Illinois Urbana-Champaign, USA - University of Cambridge, England 📎 Study the paper 📦 GitHub Resources ⚡️Channel: @ComplexNetworkAnalysis #review #Graph_Foundation_Models #llm

📹How to Build a Knowledge Graph 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #knowledge_graph #neo4j

📄Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review 📔 Journal: IEEE Access (I.
📄Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review 📔 Journal: IEEE Access (I.F.=3.4) 🗓 Publish year: 2025 🧑‍💻Authors: Elaheh Azadi Marand; Amir Sheikhahmadi; Moharram Challenger, ... 🏢Universities: Islamic Azad University Sanandaj Branch - University of Kurdistan, Iran - University of Antwerp, Belgium 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #recommender_systems #UML

Repost from Bioinformatics
📃 An introduction to and survey of biological network visualization 📗 Journal: Computers & Graphics (I.F.=2.5) 🗓Publish ye
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📃 An introduction to and survey of biological network visualization 📗 Journal: Computers & Graphics (I.F.=2.5) 🗓Publish year: 2025 🧑‍💻Authors: Henry Ehlers, Nicolas Brich, Michael Krone,... 🏢Universities: University of Tübingen, Germany - Peking University, China -Osaka Seikei University, Japan, ... 📎 Study the paper 📲Channel: @Bioinformatics #review #network #visualization #biological