🎓 Algorithms and Graph Structures for Splitting Network Flows, in Theory and Practice

📕PhD thesis from University of Helsinki, Finland

🗓Publish year: 2025

📎 Study thesis

⚡️Channel: @ComplexNetworkAnalysis
#thesis #network_flow

📄 A Survey of Graph Transformers: Architectures, Theories and Applications

🗓 Publish year: 2025

🧑‍💻Authors: Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu, ...
🏢Universities: Tsinghua University - Chinese University of Hong Kong - Chinese Academy of Sciences, China

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⚡️Channel: @ComplexNetworkAnalysis
#review #transformer

🎞 Node centrality metric and link analysis

💥Social Network Analysis Lecture 3

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📱Channel: @ComplexNetworkAnalysis
#video #Node #centerality #link

🎞 Machine Learning with Graphs: GraphSAGE Neighbor Sampling

💥Free recorded course by Prof. Jure Leskovec

💥 This part discussed Neighbor Sampling, That is a representative method used to scale up GNNs to large graphs. The key insight is that a K-layer GNN generates a node embedding by using only the nodes from the K-hop neighborhood around that node. Therefore, to generate embeddings of nodes in the mini-batch, only the K-hop neighborhood nodes and their features are needed to load onto a GPU, a tractable operation even if the original graph is large. To further reduce the computational cost, only a subset of neighboring nodes is sampled for GNNs to aggregate.


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📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #GraphSAGE

📃A Review of Link Prediction Algorithms in Dynamic Networks

📗 Journal: Mathematics (I.F.=2.3)
🗓 Publish year: 2025

🧑‍💻Authors: Mengdi Sun, Minghu Tang
🏢Universities: Qinghai Minzu University, China

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⚡️Channel: @ComplexNetworkAnalysis
#review #explainability #gnn

📃 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

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📲Channel: @Bioinformatics
#review #drug #repurposing #gnn

📃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.

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📱Channel: @ComplexNetworkAnalysis
#paper #Data_Mining #Transportation #GNN #review

📃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

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⚡️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.

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📱Channel: @ComplexNetworkAnalysis
#video

📃 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

📄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

📎 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

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⚡️Channel: @ComplexNetworkAnalysis
#book #booklet #graph

📃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