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🎬 Mastering Network Analysis with igraph 🎞

📚 Graph Learning 💥Booklet 🗓Publish year: 2025 🧑‍💻Authors: Feng Xia, Ciyuan Peng, Jing Ren, ... 🏢Universities: Federatio
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📚 Graph Learning 💥Booklet 🗓Publish year: 2025 🧑‍💻Authors: Feng Xia, Ciyuan Peng, Jing Ren, ... 🏢Universities: Federation University Australia & RMIT Universit, Australia - Jilin University & Dalian University of Technology, China 🌐 Study ⚡️Channel: @ComplexNetworkAnalysis #book #booklet #graph #learning

📑 Critical Nodes Identification in Complex Networks: A Survey 🗓 Publish year: 2025 🧑‍💻Authors: Duxin Chen, Jiawen Chen, X
📑 Critical Nodes Identification in Complex Networks: A Survey 🗓 Publish year: 2025 🧑‍💻Authors: Duxin Chen, Jiawen Chen, Xiaoyu Zhang,... 🏢University: Southeast University & University of Science and Technology of China, China 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #reviw #critical_node

📄In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis,
📄In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends 📘 Journal: Neural Computing and Applications 🗓 Publish year: 2025 🧑‍💻Authors: Shivangi Gheewala, Shuxiang Xu & Soonja Yeom 🏢University: University of Tasmania - Launceston Campus, Australia 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #recommender_system #deep_learning

🎥 The Fascinating World of Network Science 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #basics

Repost from Bioinformatics
📃 Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey 🗓Publish year: 2025 🧑‍💻Authors: Payam Zohari
📃 Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey 🗓Publish year: 2025 🧑‍💻Authors: Payam Zohari & Mostafa Haghir Chehreghani 🏢University: Amirkabir University of Technology (Tehran Polytechnic), Iran 📎 Study the paper 📲Channel: @Bioinformatics #review #cancer #multi_omics #gnn

📄 Community Detection Methods Based on Exploiting Attributes and Interactions on Social Networks: A Survey and Future Direct
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📄 Community Detection Methods Based on Exploiting Attributes and Interactions on Social Networks: A Survey and Future Directions 📗 Journal: Vietnam Journal of Computer Science (I.F.=1.1) 🗓 Publish year: 2025 🧑‍💻Authors: Hai Bang Truong, Mirjana Ivanovic, and Van Cuong Tran 🏢Universities: University of Information Technology & Quang Binh University, Vietnam - University of Novi Sad, Serbia 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #community_detection

📃 State of the Art of Graph Visualization in non-Euclidean Spaces 📕 Journal: Computer Graphics Forum (I.F.=2.9) 🗓 Publish
📃 State of the Art of Graph Visualization in non-Euclidean Spaces 📕 Journal: Computer Graphics Forum (I.F.=2.9) 🗓 Publish year: 2025 🧑‍💻Authors: Jacob Miller, Dhruv Bhatia and Stephen Kobourov 🏢Universities: University of Arizona, Tucson, USA 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #visualization #non_Euclidean

🎥 Graph Classification: Step-by-step in action 🎞 Watch ⚡️Channel: @ComplexNetworkAnalysis #video #classification #graph

📄 A survey on information diffusion and competitive influence maximization in social networks 📔 Journal: Social Network Ana
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📄 A survey on information diffusion and competitive influence maximization in social networks 📔 Journal: Social Network Analysis and Mining (I.F.=2.8) 🗓 Publish year: 2025 🧑‍💻Authors: Shano Solanki, Mukesh Kumar & Rakesh Kumar 🏢Universities: Panjab University & Central University of Haryana & NITTTR , India 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #diffusion #influence_maximization

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