Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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Forwarded from Bioinformatics
📃 Graph Neural Network-Based Approaches to Drug Repurposing: A Comprehensive Survey

🗓 Publish year: 2025

🧑‍💻
Authors: Alireza A.Tabatabaei, Mohammad Ebrahim Mahdavi, Ehsan Beiranvand, ...
🏢Universities: University of Isfahan, Shahid Beheshti University of Medical Sciences, University of Tehran - Iran

📎 Study the paper

📲Channel: @Bioinformatics
#review #drug #repurposing #gnn
1
📃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
📘 Introduction to Random Graphs
💥 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
🎞 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
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
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

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📲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

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📦 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
👍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

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📱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

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⚡️Channel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
👍21👏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

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⚡️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

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⚡️Channel: @ComplexNetworkAnalysis
#review #ranking
1