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πŸ“ƒDisinformation detection using graph neural networks: a survey

πŸ—“ Publish year: 2024
πŸ“˜Journal: Artificial Intelligence Review (10.7)

πŸ§‘β€πŸ’»Authors: Batool Lakzaei, Mostafa Haghir Chehreghani & Alireza Bagheri
🏒University: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Disinformation #GNN #survey
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πŸ“ƒ A Short Survey on Graph Neural Networks Based Stock Market Prediction Models

πŸ—“ Publish year: 2024
πŸ“˜ Conference: The Nineteenth International Conference on Internet and Web Applications and Services

πŸ§‘β€πŸ’»Authors: Lei Zhou, Jian Yu, Samaneh Madanian , Guiling Wang , Sira Yongchareon, Yuqi Zhang
πŸ—Ί Country: China , New Zealand

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Stock_Market #Prediction
πŸ‘2πŸ”₯1
πŸ“ƒGraph Neural Networks in Point Clouds: A Survey

πŸ—“ Publish year: 2024
πŸ“˜Journal: Remote Sensing (4.9 )

πŸ§‘β€πŸ’»Authors: y Dilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao and Jixiang Du
🏒University: Huaqiao University, Xiamen 361021, China

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Point #Clouds #survey
Forwarded from Bioinformatics
πŸŽ“New graph learning approaches for exploring gene and protein function

πŸ“—Doctoral Thesis from ETH Zurich

πŸ—“Publish year: 2024

πŸ“Ž Study thesis

πŸ“²Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
πŸ“ƒA Comprehensive Survey on Deep Graph Representation Learning Methods

πŸ—“ Publish year: 2023
πŸ“˜Journal: Journal of Artificial Intelligence Research

πŸ§‘β€πŸ’»Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏒University: University of Electronic Science and Technology of China

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey
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πŸŽ“ Graph Neural Networks in Intrusion Detection

πŸ“˜A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Author: Nuno Ferreira
🏒University: University of Porto in Portugal

πŸ“ŽStudy Thesis

πŸ“±Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Intrusion_Detection
πŸ“ƒRecent advances in network-based methods for disease gene prediction

πŸ—“ Publish year: 2020
πŸ“˜Journal: Briefings in Bioinformatics (I.F=6.8)

πŸ§‘β€πŸ’»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
,

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
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2019_A_survey_on_visualization_approaches_for_exploring_association.pdf
1.1 MB
πŸ“ƒ A survey on visualization approaches for exploring association relationships in graph data

πŸ—“ Publish year: 2019
πŸ“˜ Conference: The Nineteenth International Conference on Internet and Web Applications and Services

πŸ§‘β€πŸ’»Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
πŸ—Ί Country: China

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #visualization #Graph_data
πŸ“ƒThe Review of Ecological Network Indicators in Graph Theory
Context: 2014-2019

πŸ—“ Publish year: 2021
πŸ“˜Journal: International Journal of Environmental Research (IJER) (I.F=2.6)

πŸ§‘β€πŸ’»Authors: Hassan Darabi, Rastgar Hashemi, Faroq Lotfi
🏒University: University of Tehran, Iran

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Ecological_Network #Indicators
πŸ“ƒ FairSNA: Algorithmic Fairness in Social Network Analysis

πŸ—“ Publish year: 2024
πŸ“˜ Journal: ACM Computing Surveys (I.F=23,8)

πŸ§‘β€πŸ’»Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
πŸ—Ί Country: Netherlands

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #Fairness #Social_Network_Analysis
πŸ“ƒSocial Network Analysis: Applications and New Metrics for Supply Chain Managementβ€”A Literature Review

πŸ—“ Publish year: 2024
πŸ“˜Journal: Logistics (I.F=3.7)

πŸ§‘β€πŸ’»Authors: Ana Isabel Bento , Carla Cruz , Gabriela Fernandes and LuΓ­s Miguel D. F. Ferreira
🏒University: University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Application #Metric #Management #Supply #Chain #review
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πŸ“ƒNetwork biology: Recent advances and challenges

πŸ—“ Publish year: 2022
πŸ“˜Journal: Gene & Protein in Disease (GPD)

πŸ§‘β€πŸ’»Author: Pei Wang
🏒University: Henan University, Kaifeng, P.R. China

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #biology #advances #challenges
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πŸ“ƒCommunity detection in social networks using machine learning: a systematic mapping study

πŸ—“ Publish year: 2024
πŸ“˜Journal: Knowledge and Information Systems (I.F=2.5)

πŸ§‘β€πŸ’»Authors: Mahsa Nooribakhsh, Marta FernΓ‘ndez-Diego, Fernando GonzΓ‘lez-LadrΓ³n-De-Guevara. Mahdi Mollamotalebi
🏒University: Universitat Politècnica de València, Camino de Vera, s/n, 46022, Valencia, Spain and Islamic Azad University, Qazvin, Iran

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Community_detection #Machine_learning #mapping
πŸ“ƒUse of social network analysis in health research: a scoping review protocol

πŸ—“ Publish year: 2024
πŸ“˜Journal: BMJ Open (I.F=2.4)

πŸ§‘β€πŸ’»Authors: Eshleen Grewal, Jenny Godley, Justine Wheeler, Karen L Tang
🏒University: University of Calgary, Calgary, Alberta, Canada

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #health #protocol #scoping_review
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πŸ“ƒGraph Network Techniques to Model and Analyze Emergency Department Patient Flow

πŸ—“ Publish year: 2022
πŸ“˜Journal: Mathematics (I.F=2.3)

πŸ§‘β€πŸ’»Authors: Iris Reychav , Roger McHaney, Sunil Babbar, Krishanthi, Weragalaarachchi, Nadeem Azaizah and Alon Nevet
🏒University: Ariel University, Israel and Kansas State University, Manhattan, USA

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Techniques #Emergency #Patient_Flow
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πŸ“ƒComplex network analysis of cryptocurrency market during crashes

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»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


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #cryptocurrency #crashes