📃Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
🗓 Publish year: 2024
📘Journal: Logistics (I.F=3.7)
🧑💻Authors: Ana Isabel Bento , Carla Cruz , Gabriela Fernandes and Luís Miguel D. F. Ferreira
🏢University: University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Application #Metric #Management #Supply #Chain #review
🗓 Publish year: 2024
📘Journal: Logistics (I.F=3.7)
🧑💻Authors: Ana Isabel Bento , Carla Cruz , Gabriela Fernandes and Luís Miguel D. F. Ferreira
🏢University: University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Application #Metric #Management #Supply #Chain #review
❤2👍2
📃Network biology: Recent advances and challenges
🗓 Publish year: 2022
📘Journal: Gene & Protein in Disease (GPD)
🧑💻Author: Pei Wang
🏢University: Henan University, Kaifeng, P.R. China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biology #advances #challenges
🗓 Publish year: 2022
📘Journal: Gene & Protein in Disease (GPD)
🧑💻Author: Pei Wang
🏢University: Henan University, Kaifeng, P.R. China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biology #advances #challenges
❤2🤩1
📃Community detection in social networks using machine learning: a systematic mapping study
🗓 Publish year: 2024
📘Journal: Knowledge and Information Systems (I.F=2.5)
🧑💻Authors: Mahsa Nooribakhsh, Marta Fernández-Diego, Fernando González-Ladrón-De-Guevara. Mahdi Mollamotalebi
🏢University: Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain and Islamic Azad University, Qazvin, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community_detection #Machine_learning #mapping
🗓 Publish year: 2024
📘Journal: Knowledge and Information Systems (I.F=2.5)
🧑💻Authors: Mahsa Nooribakhsh, Marta Fernández-Diego, Fernando González-Ladrón-De-Guevara. Mahdi Mollamotalebi
🏢University: Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain and Islamic Azad University, Qazvin, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community_detection #Machine_learning #mapping
📃Use of social network analysis in health research: a scoping review protocol
🗓 Publish year: 2024
📘Journal: BMJ Open (I.F=2.4)
🧑💻Authors: Eshleen Grewal, Jenny Godley, Justine Wheeler, Karen L Tang
🏢University: University of Calgary, Calgary, Alberta, Canada
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #health #protocol #scoping_review
🗓 Publish year: 2024
📘Journal: BMJ Open (I.F=2.4)
🧑💻Authors: Eshleen Grewal, Jenny Godley, Justine Wheeler, Karen L Tang
🏢University: University of Calgary, Calgary, Alberta, Canada
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #health #protocol #scoping_review
👏2
📃Graph Network Techniques to Model and Analyze Emergency Department Patient Flow
🗓 Publish year: 2022
📘Journal: Mathematics (I.F=2.3)
🧑💻Authors: Iris Reychav , Roger McHaney, Sunil Babbar, Krishanthi, Weragalaarachchi, Nadeem Azaizah and Alon Nevet
🏢University: Ariel University, Israel and Kansas State University, Manhattan, USA
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Techniques #Emergency #Patient_Flow
🗓 Publish year: 2022
📘Journal: Mathematics (I.F=2.3)
🧑💻Authors: Iris Reychav , Roger McHaney, Sunil Babbar, Krishanthi, Weragalaarachchi, Nadeem Azaizah and Alon Nevet
🏢University: Ariel University, Israel and Kansas State University, Manhattan, USA
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Techniques #Emergency #Patient_Flow
👍1
📃Complex network analysis of cryptocurrency market during crashes
🗓 Publish year: 2024
🧑💻Authors: Kundan Mukhia, Anish Rai, SR Luwang, Md Nurujjaman, Sushovan Majhi, Chittaranjan Hens
🏢University: National Institute of Technology, 737139, Sikkim, India
The George Washington University, Washington, DC, 20052, Washington, USA
International Institute of Information Technology , Hyderabad, 500032, Telangana, India
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #cryptocurrency #crashes
🗓 Publish year: 2024
🧑💻Authors: Kundan Mukhia, Anish Rai, SR Luwang, Md Nurujjaman, Sushovan Majhi, Chittaranjan Hens
🏢University: National Institute of Technology, 737139, Sikkim, India
The George Washington University, Washington, DC, 20052, Washington, USA
International Institute of Information Technology , Hyderabad, 500032, Telangana, India
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #cryptocurrency #crashes
Forwarded from Bioinformatics
📚 Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
💥 Book Chapter from IMIA Yearbook of Medical Informatics
🗓Publish year: 2023
🧑💻Authors: Fang Li , Yi Nian , Zenan Sun , Cui Tao
🏢University: University of Texas Health Science Center at Houston, USA
📎 Study the Chapter
📲Channel: @Bioinformatics
#book #chapter #Graph_representation_learning #biomedicine
💥 Book Chapter from IMIA Yearbook of Medical Informatics
🗓Publish year: 2023
🧑💻Authors: Fang Li , Yi Nian , Zenan Sun , Cui Tao
🏢University: University of Texas Health Science Center at Houston, USA
📎 Study the Chapter
📲Channel: @Bioinformatics
#book #chapter #Graph_representation_learning #biomedicine
👍1
📃A key review on graph data science: The power of graphs in scientific studies
🗓 Publish year: 2023
📘Journal: Chemometrics and Intelligent Laboratory Systems (I.F=3.7)
🧑💻Authors: Resul Das, Mucahit Soylu
🏢University: Firat University, Faculty of Technology, Department of Software Engineering, 23119, Elazig, Turkiye and
Inonu University, Organized Industrial Zone Vocational School, Department of Computer Programming, 44280, Malatya, Turkiye
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #data_science #power #Graph #review
🗓 Publish year: 2023
📘Journal: Chemometrics and Intelligent Laboratory Systems (I.F=3.7)
🧑💻Authors: Resul Das, Mucahit Soylu
🏢University: Firat University, Faculty of Technology, Department of Software Engineering, 23119, Elazig, Turkiye and
Inonu University, Organized Industrial Zone Vocational School, Department of Computer Programming, 44280, Malatya, Turkiye
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #data_science #power #Graph #review
❤1👏1
🎞Graph Neural Networks in Computational Biology: A Personal Perspective
💥Free recorded tutorial by Petar Veličković
💥Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the back-bone for machine learning applications in drug discovery, modeling of small molecules, and more broader applications of computational biology.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Computational #Biology #perspective
💥Free recorded tutorial by Petar Veličković
💥Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the back-bone for machine learning applications in drug discovery, modeling of small molecules, and more broader applications of computational biology.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Computational #Biology #perspective
YouTube
Graph Neural Networks in Computational Biology: A Personal Perspective - Petar Veličković
Title: Graph Neural Networks in Computational Biology: A Personal Perspective
Abstract:
Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the…
Abstract:
Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the…
📃Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective
🗓 Publish year: 2024
📘Journal: Informatics and Health
🧑💻Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang
🏢University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous #biomedical #data_mining #review
🗓 Publish year: 2024
📘Journal: Informatics and Health
🧑💻Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang
🏢University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous #biomedical #data_mining #review
👍2🔥2👏1
🎞 Graphs and networks. Graph-theoretical approach. Complex network analysis
💥Complex network analysis by Maksym Tsizh
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Graph
💥Complex network analysis by Maksym Tsizh
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Graph
YouTube
Lecture 2: Graphs and networks. Graph-theoretical approach. Complex network analysis, Aug 5, 2024
❤3
🎓Network Inference And Graph Learning in Characterising Alzheimer’s Disease
📕PhD Thesis form Coventry University, England
🗓Publish year: 2024
📎 Study thesis
⚡️Channel: @ComplexNetworkAnalysis
#thesis #Alzheimer #inference
📕PhD Thesis form Coventry University, England
🗓Publish year: 2024
📎 Study thesis
⚡️Channel: @ComplexNetworkAnalysis
#thesis #Alzheimer #inference
👏2
🎞 Graph Neural Networks with Missing Node Features
💥Free recorded tutorial by Emanuele Rossi
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Node #Feature
💥Free recorded tutorial by Emanuele Rossi
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Node #Feature
YouTube
Graph Neural Networks with Missing Node Features | Emanuele Rossi
Join the Learning on Graphs and Geometry Reading Group:
https://hannes-stark.com/logag-reading-group
Paper “On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features”: https://arxiv.org/abs/2111.12128
Abstract: While…
https://hannes-stark.com/logag-reading-group
Paper “On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features”: https://arxiv.org/abs/2111.12128
Abstract: While…
👍1
📃SOCIAL NETWORK ANALYSIS: FROM GRAPH THEORY TO APPLICATIONS
🗓 Publish year: 2024
📘Journal: Social Communication
🧑💻Authors: Wojciech Golędzinowski, Władysław Błocki
🏢University: University of Information Technology and Management in Rzeszów
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Applications
🗓 Publish year: 2024
📘Journal: Social Communication
🧑💻Authors: Wojciech Golędzinowski, Władysław Błocki
🏢University: University of Information Technology and Management in Rzeszów
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Applications
👍3👏1
📃Optimizing Graph Theory Algorithms for Social Network Analysis
🗓 Publish year: 2024
📘Journal: Communications on Applied Nonlinear Analysis
🧑💻Authors: Susanta Kumar Sahoo,Sasmita Mishra
🏢University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms
🗓 Publish year: 2024
📘Journal: Communications on Applied Nonlinear Analysis
🧑💻Authors: Susanta Kumar Sahoo,Sasmita Mishra
🏢University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms
📃A Comprehensive Survey on Deep Graph Representation Learning
🗓 Publish year: 2024
📘Journal: Neural Networks(I.F=6)
🧑💻Authors: Wei Ju a, Zheng Fang b, Yiyang Gu a, Zequn Liu a, Qingqing Long c, Ziyue Qiao d, Yifang Qin a, Jianhao Shen a, Fang Sun e, Zhiping Xiao e, Junwei Yang a, Jingyang Yuan a, Yusheng Zhao a, Yifan Wang f, Xiao Luo e, Ming Zhang
🏢Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
🗓 Publish year: 2024
📘Journal: Neural Networks(I.F=6)
🧑💻Authors: Wei Ju a, Zheng Fang b, Yiyang Gu a, Zequn Liu a, Qingqing Long c, Ziyue Qiao d, Yifang Qin a, Jianhao Shen a, Fang Sun e, Zhiping Xiao e, Junwei Yang a, Jingyang Yuan a, Yusheng Zhao a, Yifan Wang f, Xiao Luo e, Ming Zhang
🏢Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
📃Graph theory in ecological network analysis: A systematic review for connectivity assessment
🗓 Publish year: 2024
📘Journal: Journal of Cleaner Production (I.F=9.7)
🧑💻Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
🏢Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
🗓 Publish year: 2024
📘Journal: Journal of Cleaner Production (I.F=9.7)
🧑💻Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
🏢Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
❤1
📃A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
🗓 Publish year: 2024
🧑💻Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin
🏢Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey
🗓 Publish year: 2024
🧑💻Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin
🏢Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology.
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey
👍2
📃Survey on Graph Neural Networks
🗓 Publish year: 2024
📘Journal: Journal of Cleaner Production (I.F=9.7)
🧑💻Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS
🏢Universities: Information Technologies Institute (IT)
📎 Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
🗓 Publish year: 2024
📘Journal: Journal of Cleaner Production (I.F=9.7)
🧑💻Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS
🏢Universities: Information Technologies Institute (IT)
📎 Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
👏1
📄Graph Clustering Algorithms: Usage and Comparison
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Clustering
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Clustering
Memgraph
Graph Clustering Algorithms: Usage and Comparison
From social networks and biological systems to recommendation engines, graph clustering algorithms enable data scientists to gain insights and make informed decisions that create value.
❤2