Distributed Graph Neural Network Training.pdf
1.9 MB
πDistributed Graph Neural Network Training: A Survey
π Publish year: 2023
π§βπ»Authors: YINGXIA SHAOΨ HONGZHENG LI, HONGBO YIN, XIZHI GUΨ WENTAO ZHANG,...
π’Universities: Beijing University of Posts and Telecommunications, Carnegie Mellon University, The Hong Kong University of Science and Technology (Guangzhou), Peking University.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Distributed #Survey
π Publish year: 2023
π§βπ»Authors: YINGXIA SHAOΨ HONGZHENG LI, HONGBO YIN, XIZHI GUΨ WENTAO ZHANG,...
π’Universities: Beijing University of Posts and Telecommunications, Carnegie Mellon University, The Hong Kong University of Science and Technology (Guangzhou), Peking University.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Distributed #Survey
π₯ Social Network Analysis in Kumu Tool
πΉ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #tool
πΉ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #tool
YouTube
7. Social Network Analysis in Kumu: Metrics & Community Detection
In this webinar we dive into the world of Social Network Analysis (SNA), a powerful method for analyzing and understanding the relationships, interactions, and structures within networks of social entities.
Whether you're exploring connections between individualsβ¦
Whether you're exploring connections between individualsβ¦
πLeading by the nodes: a survey of film industry network analysis and datasets
π Publish year: 2024
πJournal: Applied Network Science (I.F=1.3)
π§βπ»Authors: Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones & Deb Verhoeven
π’Universities: Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta, Canada.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #nodes #film #industry #survey
π Publish year: 2024
πJournal: Applied Network Science (I.F=1.3)
π§βπ»Authors: Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones & Deb Verhoeven
π’Universities: Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta, Canada.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #nodes #film #industry #survey
π Network controllability of structured networks: a survey on graph-theoretical approaches
π Publish year: 2024
π Journal: SICE Journal of Control, Measurement, and System Integration
π§βπ»Authors: Nam-Jin Park & Hyo-Sung Ahn
π’Universities: Gwangju Institute of Science and Technology (GIST), Korea
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #control
π Publish year: 2024
π Journal: SICE Journal of Control, Measurement, and System Integration
π§βπ»Authors: Nam-Jin Park & Hyo-Sung Ahn
π’Universities: Gwangju Institute of Science and Technology (GIST), Korea
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #control
π Introduction to Network Analysis Methodologies and Tools
π₯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.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Methodologies #Tools
π₯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.
π½ Watch
π±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 introductoryβ¦
π Graph Artificial Intelligence in Medicine
π Journal: Annual Review of Biomedical Data Science (I.F.=7)
π§βπ»Authors: Ruth Johnson, Michelle M. Li, Ayush Noori,...
π’Universities: Harvard Medical School- Harvard John A. Paulson School of Engineering and
Applied Sciences, USA
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #ai #medicine
π Journal: Annual Review of Biomedical Data Science (I.F.=7)
π§βπ»Authors: Ruth Johnson, Michelle M. Li, Ayush Noori,...
π’Universities: Harvard Medical School- Harvard John A. Paulson School of Engineering and
Applied Sciences, USA
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #ai #medicine
πFinding the Connections: A Scoping Review of Epistemic Network Analysis in Science Education
π Publish year: 2024
πJournal: Journal of Science Education and Technology (I.F=4.2)
π§βπ»Authors: Joshua W. Reid, Jennifer Parrish, Shifath Bin Syed, Brock Couch
π’Universities: Texas Tech University, Lubbock, TX, 79409, USA.
University of Northern Colorado, Greeley, CO, 80639, USA.
Loyola University Maryland, Baltimore, MD, 21210, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Connections #Epistemic #Science #Education #review
π Publish year: 2024
πJournal: Journal of Science Education and Technology (I.F=4.2)
π§βπ»Authors: Joshua W. Reid, Jennifer Parrish, Shifath Bin Syed, Brock Couch
π’Universities: Texas Tech University, Lubbock, TX, 79409, USA.
University of Northern Colorado, Greeley, CO, 80639, USA.
Loyola University Maryland, Baltimore, MD, 21210, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Connections #Epistemic #Science #Education #review
πA Survey of Graph Neural Networks for Social Recommender Systems
π Publish year: 2024
π§βπ»Authors: KARTIK SHARMA, YEON-CHANG LEE, SIVAGAMI NAMBI,...
π’Universities: Georgia Institute of Technology, Ulsan National Institute of Science and Technology, Hanyang University.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
π Publish year: 2024
π§βπ»Authors: KARTIK SHARMA, YEON-CHANG LEE, SIVAGAMI NAMBI,...
π’Universities: Georgia Institute of Technology, Ulsan National Institute of Science and Technology, Hanyang University.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
π½ Introduction to Network Analysis using NetworkX
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #networkx
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #networkx
YouTube
Introduction to Network Analysis using NetworkX
Dr. Karthik Raman , Mr. Srikrishnan B, Mr. Shobhan Karthick, Mr. Vijaya Yuvaram Singh / IITM
A_Comparison_of_Graph_Construction_Methods_for_Semi_Supervised_Learning.pdf
3.2 MB
πA Comparison of Graph Construction Methods for Semi-Supervised Learning
πConference: 2018 International Joint Conference on Neural Networks (IJCNN)
πPublish year: 2018
π§βπ»Authors: Didier A. Vega-Oliveros, Alneu de Andrade Lopes, Lilian Berton
π’University: University of SΓ£o Paulo
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#Paper #Semi_Supervised #network
πConference: 2018 International Joint Conference on Neural Networks (IJCNN)
πPublish year: 2018
π§βπ»Authors: Didier A. Vega-Oliveros, Alneu de Andrade Lopes, Lilian Berton
π’University: University of SΓ£o Paulo
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#Paper #Semi_Supervised #network
πResearch Output, Key Topics, and Trends in Productivity, Visibility, and Collaboration in Social Sciences Research on COVID-19: A Scientometric Analysis and Visualization
π Publish year: 2024
πJournal: SAGE Open (I.F=2)
π§βπ»Authors: Walaa Hamdan, Hanan Alsuqaih
π’Universities: College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, Airport Road, P.O.Box 84428, Riyadh 11671, Saudi Arabia.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Visibility #Collaboration #Productivity #Scientometric #COVID_19 #Visualization
π Publish year: 2024
πJournal: SAGE Open (I.F=2)
π§βπ»Authors: Walaa Hamdan, Hanan Alsuqaih
π’Universities: College of Humanities and Social Sciences, Princess Nourah bint Abdulrahman University, Airport Road, P.O.Box 84428, Riyadh 11671, Saudi Arabia.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Visibility #Collaboration #Productivity #Scientometric #COVID_19 #Visualization
π Link Prediction with GraphSage explained | step-by-step
π₯ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #link_prediction #gnn
π₯ Watch
β‘οΈChannel: @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 helpsβ¦
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 helpsβ¦
πExploring the use of social network analysis methods in process improvement within healthcare organizations: a scoping review
π Publish year: 2024
πJournal: BMC Health Services Research (I.F=2.7)
π§βπ»Authors: Troy FrancisΨ Morgan DavidsonΨ Laura SeneseΨ Lianne JeffsΨ Reza Yousefi-NooraieΨ Mathieu OuimetΨ Valeria RacΨ Patricia Trbovich
π’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.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #healthcare #organizations #review
π Publish year: 2024
πJournal: BMC Health Services Research (I.F=2.7)
π§βπ»Authors: Troy FrancisΨ Morgan DavidsonΨ Laura SeneseΨ Lianne JeffsΨ Reza Yousefi-NooraieΨ Mathieu OuimetΨ Valeria RacΨ Patricia Trbovich
π’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.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #healthcare #organizations #review
πCan Graph Neural Networks be Adequately Explained? A Survey
π Journal: ACM Computing Surveys (π₯I.F.=23.8)
π Publish year: 2025
π§βπ»Authors: Xuyan Li, Jie Wang, Zheng Yan
π’University: Xidian University, China
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #gnn #explainability
π Journal: ACM Computing Surveys (π₯I.F.=23.8)
π Publish year: 2025
π§βπ»Authors: Xuyan Li, Jie Wang, Zheng Yan
π’University: Xidian University, China
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #gnn #explainability
π Machine Learning with Graphs: hyperbolic graph embeddings
π₯Free recorded course by Prof. Jure Leskovec
π₯ 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
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning
π₯Free recorded course by Prof. Jure Leskovec
π₯ 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
π½ Watch
π²Channel: @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 Stanfordβs 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 embeddingβ¦
Jure Leskovec
Computer Science, PhD
In previous lectures, we focused on graph representation learning in Euclidean embeddingβ¦
π Intro to Graph Analytics in Python
π₯ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #graph #python
π₯ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #graph #python
YouTube
Intro to Graph Analytics in Python
Graphs are a way to represent a network or a collection of interconnected objects formally. There are many powerful tools out there to explore that kind of network by applying graph algorithms. But sometimes itβs hard to keep track of them!
We have createdβ¦
We have createdβ¦
Forwarded from Bioinformatics
π Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities
π Journal: Journal of Cellular and Molecular Medicine (I.F.=4.3)
πPublish year: 2025
π§βπ»Authors: Hao Zhang, Chaohuan Lin, Ying'ao Chen, ...
π’Universities: Wenzhou Medical University - University of Chinese Academy of Sciences, China
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning
π Journal: Journal of Cellular and Molecular Medicine (I.F.=4.3)
πPublish year: 2025
π§βπ»Authors: Hao Zhang, Chaohuan Lin, Ying'ao Chen, ...
π’Universities: Wenzhou Medical University - University of Chinese Academy of Sciences, China
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #network #driver_gene #machine_learning