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Showing posts older than #1279 · Back to latest

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Post #1278 785
📄 A comprehensive bibliometric analysis on social network anonymization: current approaches and future directions

📕 Journal: Knowledge and Information System (I.F.=2.5)
🗓 Publish year: 2025

🧑‍💻Authors: Navid Yazdanjue, Hossein Yazdanjouei, Hassan Gharoun,...
🏢University:
- University of Technology Sydney, Ultimo, Australia
- Urmia University, Urmia &Iran University of Science and Technology, Iran

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⚡️Channel: @ComplexNetworkAnalysis
#review #anonymization
  • 👍 1
Post #1277 764
📃A comprehensive survey on graph neural network accelerators

🗓 Publish year: 2025
📘Journal: Frontiers of Computer Science (I.F=3.4)

🧑‍💻Authors: Jingyu LIU, Shi CHEN, Li SHEN
🏢Universities: School of Computer, National University of Defense Technology, Changsha 410073, China

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #survey
Post #1276 1.08K
📃Understanding When and Why Graph Attention Mechanisms Work via Node Classification

🗓Publish year: 2024

🧑‍💻Authors: Didier A. Vega-Oliveros, Alneu de Andrade Lopes, Lilian Berton
🏢University: Northwestern Polytechnical University, Shanghai Artificial Intelligence Laboratory, Shanghai Jiaotong University

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📲Channel: @ComplexNetworkAnalysis
#Paper #GAT #Attention #node_classification
Post #1273 934

Forwarded from Bioinformatics

📑 Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities

📓 Journal: Journal of Cellular and Molecular Medicine (I.F.=4.3)
🗓Publish year: 2025

🧑‍💻Authors: Hao Zhang, Chaohuan Lin, Ying'ao Chen, ...
🏢Universities: Wenzhou Medical University - University of Chinese Academy of Sciences, China

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📲Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning
Post #1271 2.56K
🎞 Machine Learning with Graphs: hyperbolic graph embeddings

💥Free recorded course by Prof. Jure Leskovec

💥 This part focused on graph representation learning in Euclidean embedding spaces. In this lecture, we introduce hyperbolic embedding spaces, which are great for modeling hierarchical, tree-like graphs. Moreover, we introduce basics for hyperbolic geometry models, which leads to the idea of hyperbolic GNNs. More details can be found in the paper: Hyperbolic Graph Convolutional Neural Networks

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📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
YouTube Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 19.2 - Hyperbolic Graph Embeddings For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Brc7vN Jure Leskovec Computer Science, PhD In previous lectures, we focused on graph representation learning in Euclidean embedding…
  • 👍 2
Post #1270 850
📑Can Graph Neural Networks be Adequately Explained? A Survey

📗 Journal: ACM Computing Surveys (🔥I.F.=23.8)
🗓 Publish year: 2025

🧑‍💻Authors: Xuyan Li, Jie Wang, Zheng Yan
🏢University: Xidian University, China

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⚡️Channel: @ComplexNetworkAnalysis
#review #gnn #explainability
Post #1269 838
📃Exploring the use of social network analysis methods in process improvement within healthcare organizations: a scoping review

🗓 Publish year: 2024
📘Journal: BMC Health Services Research (I.F=2.7)

🧑‍💻Authors: Troy Francis، Morgan Davidson، Laura Senese، Lianne Jeffs، Reza Yousefi-Nooraie، Mathieu Ouimet، Valeria Rac، Patricia Trbovich
🏢Universities: University of Toronto, Toronto, Canada.
North York General Hospital, North York, Canada.
University Health Network, Toronto, ON, Canada.
University of Rochester, New York, USA.

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📱Channel: @ComplexNetworkAnalysis
#paper #healthcare #organizations #review
Post #1268 821
🎞 Link Prediction with GraphSage explained | step-by-step

🎥 Watch

⚡️Channel: @ComplexNetworkAnalysis
#video #link_prediction #gnn
YouTube 03 - Link Prediction with GraphSage explained | step-by-step 0:00 What is link prediction? 1:53 Preparing the graph for link prediction 15:20 GNN with SageConv 26:20 Training and Testing In this video, we explore the exciting process of link prediction using GraphSAGE Convolution (SAGEConv). Link prediction helps…
Post #1267 761
📃Research Output, Key Topics, and Trends in Productivity, Visibility, and Collaboration in Social Sciences Research on COVID-19: A Scientometric Analysis and Visualization

🗓 Publish year: 2024
📘Journal: SAGE Open (I.F=2)

🧑‍💻Authors: Walaa Hamdan, Hanan Alsuqaih
🏢Universities: College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, Airport Road, P.O.Box 84428, Riyadh 11671, Saudi Arabia.

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📱Channel: @ComplexNetworkAnalysis
#paper #Visibility #Collaboration #Productivity #Scientometric #COVID_19 #Visualization
Post #1266 772
A_Comparison_of_Graph_Construction_Methods_for_Semi_Supervised_Learning.pdf3.2 MB
📃A Comparison of Graph Construction Methods for Semi-Supervised Learning

📘Conference: 2018 International Joint Conference on Neural Networks (IJCNN)
🗓Publish year: 2018

🧑‍💻Authors: Didier A. Vega-Oliveros, Alneu de Andrade Lopes, Lilian Berton
🏢University: University of São Paulo

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📲Channel: @ComplexNetworkAnalysis
#Paper #Semi_Supervised #network
Post #1264 799
📃A Survey of Graph Neural Networks for Social Recommender Systems

🗓 Publish year: 2024

🧑‍💻Authors: KARTIK SHARMA, YEON-CHANG LEE, SIVAGAMI NAMBI,...

🏢Universities: Georgia Institute of Technology, Ulsan National Institute of Science and Technology, Hanyang University.

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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
  • 👍 1
Post #1263 702
📃Finding the Connections: A Scoping Review of Epistemic Network Analysis in Science Education

🗓 Publish year: 2024
📘Journal: Journal of Science Education and Technology (I.F=4.2)

🧑‍💻Authors: Joshua W. Reid, Jennifer Parrish, Shifath Bin Syed, Brock Couch
🏢Universities: Texas Tech University, Lubbock, TX, 79409, USA.
University of Northern Colorado, Greeley, CO, 80639, USA.
Loyola University Maryland, Baltimore, MD, 21210, USA.

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📱Channel: @ComplexNetworkAnalysis
#paper #Connections #Epistemic #Science #Education #review
Post #1261 786
📄 Graph Artificial Intelligence in Medicine

📕 Journal: Annual Review of Biomedical Data Science (I.F.=7)

🧑‍💻Authors: Ruth Johnson, Michelle M. Li, Ayush Noori,...
🏢Universities: Harvard Medical School- Harvard John A. Paulson School of Engineering and
Applied Sciences, USA

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⚡️Channel: @ComplexNetworkAnalysis
#review #ai #medicine
  • 👍 2
  • ❤ 1
Post #1260 1.15K
🎞 Introduction to Network Analysis Methodologies and Tools

💥Are you interested in the connections between people? Places? Concepts? Things? Do you want to visualize data in a way that is comprehensible to a human? Do you want to see how information flows through systems? Then network analysis is for you! This introductory workshop will introduce participants to network analysis, with an emphasis on its use for data-driven humanities research.

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #Methodologies #Tools
YouTube Introduction to Network Analysis Methodologies and Tools Are you interested in the connections between people? Places? Concepts? Things? Do you want to visualize data in a way that is comprehensible to a human? Do you want to see how information flows through systems? Then network analysis is for you! This introductory…
  • 👍 3
Post #1259 807
📄 Network controllability of structured networks: a survey on graph-theoretical approaches

🗓 Publish year: 2024
📓 Journal: SICE Journal of Control, Measurement, and System Integration

🧑‍💻Authors: Nam-Jin Park & Hyo-Sung Ahn
🏢Universities: Gwangju Institute of Science and Technology (GIST), Korea

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⚡️Channel: @ComplexNetworkAnalysis
#review #control
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