📃 A Short Survey on Graph Neural Networks Based Stock Market Prediction Models
🗓 Publish year: 2024
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Lei Zhou, Jian Yu, Samaneh Madanian , Guiling Wang , Sira Yongchareon, Yuqi Zhang
🗺 Country: China , New Zealand
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Stock_Market #Prediction
🗓 Publish year: 2024
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Lei Zhou, Jian Yu, Samaneh Madanian , Guiling Wang , Sira Yongchareon, Yuqi Zhang
🗺 Country: China , New Zealand
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Stock_Market #Prediction
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📃Graph Neural Networks in Point Clouds: A Survey
🗓 Publish year: 2024
📘Journal: Remote Sensing (4.9 )
🧑💻Authors: y Dilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao and Jixiang Du
🏢University: Huaqiao University, Xiamen 361021, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Point #Clouds #survey
🗓 Publish year: 2024
📘Journal: Remote Sensing (4.9 )
🧑💻Authors: y Dilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao and Jixiang Du
🏢University: Huaqiao University, Xiamen 361021, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Point #Clouds #survey
Forwarded from Bioinformatics
🎓New graph learning approaches for exploring gene and protein function
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📃A Comprehensive Survey on Deep Graph Representation Learning Methods
🗓 Publish year: 2023
📘Journal: Journal of Artificial Intelligence Research
🧑💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢University: University of Electronic Science and Technology of China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey
🗓 Publish year: 2023
📘Journal: Journal of Artificial Intelligence Research
🧑💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢University: University of Electronic Science and Technology of China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey
👍2
🎓 Graph Neural Networks in Intrusion Detection
📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024
🧑💻Author: Nuno Ferreira
🏢University: University of Porto in Portugal
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Intrusion_Detection
📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024
🧑💻Author: Nuno Ferreira
🏢University: University of Porto in Portugal
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Intrusion_Detection
📃Recent advances in network-based methods for disease gene prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
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2019_A_survey_on_visualization_approaches_for_exploring_association.pdf
1.1 MB
📃 A survey on visualization approaches for exploring association relationships in graph data
🗓 Publish year: 2019
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: China
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #visualization #Graph_data
🗓 Publish year: 2019
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: China
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #visualization #Graph_data
📃The Review of Ecological Network Indicators in Graph Theory
Context: 2014-2019
🗓 Publish year: 2021
📘Journal: International Journal of Environmental Research (IJER) (I.F=2.6)
🧑💻Authors: Hassan Darabi, Rastgar Hashemi, Faroq Lotfi
🏢University: University of Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Ecological_Network #Indicators
Context: 2014-2019
🗓 Publish year: 2021
📘Journal: International Journal of Environmental Research (IJER) (I.F=2.6)
🧑💻Authors: Hassan Darabi, Rastgar Hashemi, Faroq Lotfi
🏢University: University of Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Ecological_Network #Indicators
📃 FairSNA: Algorithmic Fairness in Social Network Analysis
🗓 Publish year: 2024
📘 Journal: ACM Computing Surveys (I.F=23,8)
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: Netherlands
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Fairness #Social_Network_Analysis
🗓 Publish year: 2024
📘 Journal: ACM Computing Surveys (I.F=23,8)
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: Netherlands
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Fairness #Social_Network_Analysis
📃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
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📱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
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📃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
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📱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
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📃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
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📃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
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📲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
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📃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
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🎞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…