📃Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook
🗓 Publish year: 2025
🧑💻Authors: Jiawei Xue, Ruichen Tan, Jianzhu Ma, Satish V. Ukkusuri
🏢Universities: Purdue University, West Lafayette, IN, USA.
Tsinghua University, Beijing, China.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Data_Mining #Transportation #GNN #review
🗓 Publish year: 2025
🧑💻Authors: Jiawei Xue, Ruichen Tan, Jianzhu Ma, Satish V. Ukkusuri
🏢Universities: Purdue University, West Lafayette, IN, USA.
Tsinghua University, Beijing, China.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Data_Mining #Transportation #GNN #review
📘 Introduction to Random Graphs
💥 Free online book by Carnegie Mellon University, 2025
🌐 Study
⚡️Channel: @ComplexNetworkAnalysis
#book #graph #random
💥 Free online book by Carnegie Mellon University, 2025
🌐 Study
⚡️Channel: @ComplexNetworkAnalysis
#book #graph #random
📃Information diffusion analysis: process, model, deployment, and application
📗 Journal:The Knowledge Engineering Review (I.F.=2.8)
🗓 Publish year: 2025
🧑💻Authors: Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, ...
🏢Universities: Thapar Institute of Engineering & Technology, Bennett University, India
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
📗 Journal:The Knowledge Engineering Review (I.F.=2.8)
🗓 Publish year: 2025
🧑💻Authors: Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, ...
🏢Universities: Thapar Institute of Engineering & Technology, Bennett University, India
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn
🎞 Introduction to Social Network Analysis
💥This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.
💥In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major theories and conceptual approaches to using ego-centric and sociometric network data for those new to considering networks.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
💥This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.
💥In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major theories and conceptual approaches to using ego-centric and sociometric network data for those new to considering networks.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video
YouTube
Introduction to Social Network Analysis
This session is part of the ESRC Centre for Society and Mental Health's Research Methods Primer and Provocation series.
In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major…
In this session, Dr Molly Copeland and Holly Crudgington provide an introduction to social network analysis (SNA) with a focus on major…
Forwarded from Bioinformatics
📃 Biological Multi-Layer and Single Cell Network-Based Multiomics Models - a Review
🗓 Publish year: 2025
🧑💻Authors: Marcello Barylli, Joyaditya Saha, Tineke E. Buffart , ...
🏢Universities: University of Amsterdam - Amsterdam University Medical Centers - Oncode Institute, Netherlands
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📲Channel: @Bioinformatics
#review #multiomics #network #multi_layer #single_cell
🗓 Publish year: 2025
🧑💻Authors: Marcello Barylli, Joyaditya Saha, Tineke E. Buffart , ...
🏢Universities: University of Amsterdam - Amsterdam University Medical Centers - Oncode Institute, Netherlands
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📲Channel: @Bioinformatics
#review #multiomics #network #multi_layer #single_cell
Forwarded from Bioinformatics
📄Graph neural networks for single-cell omics data: a review of approaches and applications
📙 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2025
🧑💻Authors: Sijie Li, Heyang Hua, Shengquan Chen
🏢Universities: Nankai University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #gnn #single_cell #omic
📙 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓 Publish year: 2025
🧑💻Authors: Sijie Li, Heyang Hua, Shengquan Chen
🏢Universities: Nankai University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #gnn #single_cell #omic
📃A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
📕 Journal:IEEE Transactions on Knowledge and Data Engineering (I.F.=8.9)
🗓 Publish year: 2025
🧑💻Authors: Zemin Liu; Yuan Li; Nan Chen, ...
🏢Universities: National University of Singapore
📎 Study the paper
📦 Github
💥 Early access
⚡️Channel: @ComplexNetworkAnalysis
#review #imbalanced #learning #graph
📕 Journal:IEEE Transactions on Knowledge and Data Engineering (I.F.=8.9)
🗓 Publish year: 2025
🧑💻Authors: Zemin Liu; Yuan Li; Nan Chen, ...
🏢Universities: National University of Singapore
📎 Study the paper
📦 Github
💥 Early access
⚡️Channel: @ComplexNetworkAnalysis
#review #imbalanced #learning #graph
📚 A Simple Introduction to Graph Theory
💥Booklet
🗓Publish year: 2024
🧑💻Author: Brian Heinold
🏢University: Mount Saint Mary's University, USA
🌐 Study
⚡️Channel: @ComplexNetworkAnalysis
#book #booklet #graph
💥Booklet
🗓Publish year: 2024
🧑💻Author: Brian Heinold
🏢University: Mount Saint Mary's University, USA
🌐 Study
⚡️Channel: @ComplexNetworkAnalysis
#book #booklet #graph
👍1
📃A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
🗓 Publish year: 2024
📘Journal: Mechanical Systems and Signal Processing(I.F=7.9)
🧑💻Authors: Yucheng Wang, Min Wu, Xiaoli Lia, Lihua Xie and Zhenghua Chen
🏢Universities: Nanyang Technological University, Singapore
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #prediction #Remaining #Life #future #Survey
🗓 Publish year: 2024
📘Journal: Mechanical Systems and Signal Processing(I.F=7.9)
🧑💻Authors: Yucheng Wang, Min Wu, Xiaoli Lia, Lihua Xie and Zhenghua Chen
🏢Universities: Nanyang Technological University, Singapore
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #prediction #Remaining #Life #future #Survey
📄 Network-based multi-omics integrative analysis methods in drug discovery: a systematic review
📗 Journal: BioData Mining (I.F.=4)
🗓 Publish year: 2025
🧑💻Authors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
🏢Universities: Hubei University- Sun Yat-sen University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
📗 Journal: BioData Mining (I.F.=4)
🗓 Publish year: 2025
🧑💻Authors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
🏢Universities: Hubei University- Sun Yat-sen University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
👍2❤1👏1
📄Knowledge Graph Construction: Extraction, Learning, and Evaluation
📙 Journal: Applied Sciences (I.F.=2.5)
🗓 Publish year: 2025
🧑💻Authors: Seungmin Choi and Yuchul Jung
🏢Universities: Kumoh National Institute of Technology, Republic of Korea
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #knowledge_graph
📙 Journal: Applied Sciences (I.F.=2.5)
🗓 Publish year: 2025
🧑💻Authors: Seungmin Choi and Yuchul Jung
🏢Universities: Kumoh National Institute of Technology, Republic of Korea
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #knowledge_graph
📃Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities
🗓 Publish year: 2025
🧑💻Authors: Md Shahir Zaoad, Niamat Zawad, Priyanka Ranade, ...
🏢Universities: University of Texas - The Laboratory for Physical Sciences, Baltimore, USA
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #ranking
🗓 Publish year: 2025
🧑💻Authors: Md Shahir Zaoad, Niamat Zawad, Priyanka Ranade, ...
🏢Universities: University of Texas - The Laboratory for Physical Sciences, Baltimore, USA
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #ranking
❤1
📃Stakeholder and social network analysis for understanding forest (fires) management – A contribution based on a systematic literature review
🗓 Publish year: 2025
📘Journal: Forest Policy and Economics(I.F=4)
🧑💻Authors: C. Campos Fernandes, S. Valente, E. Figueiredo, A. Polido
🏢Universities: University of Aveiro, Portugal
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Stakeholder #forest #contribution #management #review
🗓 Publish year: 2025
📘Journal: Forest Policy and Economics(I.F=4)
🧑💻Authors: C. Campos Fernandes, S. Valente, E. Figueiredo, A. Polido
🏢Universities: University of Aveiro, Portugal
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Stakeholder #forest #contribution #management #review