📃Leading by the nodes: a survey of film industry network analysis and datasets
🗓 Publish year: 2024
📘Journal: Applied Network Science (I.F=1.3)
🧑💻Authors: Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones & Deb Verhoeven
🏢Universities: Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta, Canada.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #nodes #film #industry #survey
🗓 Publish year: 2024
📘Journal: Applied Network Science (I.F=1.3)
🧑💻Authors: Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones & Deb Verhoeven
🏢Universities: Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta, Canada.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #nodes #film #industry #survey
📄 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
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #control
🗓 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
📎 Study paper
⚡️Channel: @ComplexNetworkAnalysis
#review #control
🎞 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
💥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…
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📄 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
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #ai #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
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #ai #medicine
👍2❤1
📃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.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Connections #Epistemic #Science #Education #review
🗓 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.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Connections #Epistemic #Science #Education #review
📃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.
📎 Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
🗓 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.
📎 Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
👍1
📽 Introduction to Network Analysis using NetworkX
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #networkx
🎞 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #networkx
YouTube
Introduction to Network Analysis using NetworkX
Dr. Karthik Raman , Mr. Srikrishnan B, Mr. Shobhan Karthick, Mr. Vijaya Yuvaram Singh / IITM
👍4
A_Comparison_of_Graph_Construction_Methods_for_Semi_Supervised_Learning.pdf
3.2 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
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#Paper #Semi_Supervised #network
📘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
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#Paper #Semi_Supervised #network
📃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.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Visibility #Collaboration #Productivity #Scientometric #COVID_19 #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.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Visibility #Collaboration #Productivity #Scientometric #COVID_19 #Visualization
🎞 Link Prediction with GraphSage explained | step-by-step
🎥 Watch
⚡️Channel: @ComplexNetworkAnalysis
#video #link_prediction #gnn
🎥 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…
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…
📃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.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #healthcare #organizations #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.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #healthcare #organizations #review
📑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
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #gnn #explainability
📗 Journal: ACM Computing Surveys (🔥I.F.=23.8)
🗓 Publish year: 2025
🧑💻Authors: Xuyan Li, Jie Wang, Zheng Yan
🏢University: Xidian University, China
📎 Study the paper
⚡️Channel: @ComplexNetworkAnalysis
#review #gnn #explainability
🎞 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
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
💥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
📽 Watch
📲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…
Jure Leskovec
Computer Science, PhD
In previous lectures, we focused on graph representation learning in Euclidean embedding…
👍2
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
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning
📓 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
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning
📃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
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#Paper #GAT #Attention #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
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#Paper #GAT #Attention #node_classification
📃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
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #survey
🗓 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
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #survey