πCommunity Detection Algorithms in Healthcare Applications: A Systematic Review
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #Review
πJournal: IEEE Access (I.F=3.476)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #Review
π₯2
πApplications of Differential Privacy in Social Network Analysis: A Survey
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
π―1
πRepresentation Learning on Graphs: Methods and Applications
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
π2π₯1
2022_A_Review_on_Opinion_Leader_Detection_and_its_Applications.pdf
630.7 KB
πA Review on Opinion Leader Detection and its Applications
πConference: International Conference on Communication and Electronics Systems (ICCES)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
πConference: International Conference on Communication and Electronics Systems (ICCES)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
π2
π Critical Review of Social Network Analysis Applications in Complex Project Management
πjournal: Journal of Management in Engineerin(I.F=6.415)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Critical #Applications #Complex_Project #Management #Review
πjournal: Journal of Management in Engineerin(I.F=6.415)
πPublish year: 2018
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Critical #Applications #Complex_Project #Management #Review
π2
2020_Applications_of_link_prediction_in_social_networks_A_review.pdf
2.4 MB
πApplications of link prediction in social networks: A review
πjournal: Journal of Network and Computer Applications (I.F=8.7)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #link_prediction #review
πjournal: Journal of Network and Computer Applications (I.F=8.7)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #link_prediction #review
2020_A_survey_on_network_node_ranking_algorithms_Representative.pdf
793.4 KB
πA survey on network node ranking algorithms: Representative methods, extensions, and applications
πjournal: Science China Technological Sciences(I.F= 4.6)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
πjournal: Science China Technological Sciences(I.F= 4.6)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
β€2
πGraph Learning and Its Applications: A Holistic Survey
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Graph #Applications
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Graph #Applications
πA Review of Graph Neural Networks and Their Applications in Power Systems
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Applications #Power_Systems #Review
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Applications #Power_Systems #Review
πA Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Privacy #Graph_Neural_Network #Attacks #Preservation #Applications #Survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Privacy #Graph_Neural_Network #Attacks #Preservation #Applications #Survey
π4
πCommunity Detection Algorithms in Healthcare
Applications: A Systematic Review
π journal: IEEE Access (I.F=3.9)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #review
Applications: A Systematic Review
π journal: IEEE Access (I.F=3.9)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #review
π3
π Anomaly Detection: Algorithms, Explanations, Applications
π₯Free recorded tutorial by Dr. Dietterichβs.He is part of the leadership team for OSUβs Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
π₯Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly βalarmsβ to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Anomaly_Detection #Algorithms #Explanations #Applications
π₯Free recorded tutorial by Dr. Dietterichβs.He is part of the leadership team for OSUβs Ecosystem Informatics programs including the NSF Summer Institute in Ecoinformatics
π₯Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomaly βalarmsβ to a data analyst, and (d) interactively re-ranking candidate anomalies in response to analyst feedback. Then the talk will describe two applications: (a) detecting and diagnosing sensor failures in weather networks and (b) open category detection in supervised learning.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Anomaly_Detection #Algorithms #Explanations #Applications
YouTube
Anomaly Detection: Algorithms, Explanations, Applications
Anomaly detection is important for data cleaning, cybersecurity, and robust AI systems. This talk will review recent work in our group on (a) benchmarking existing algorithms, (b) developing a theoretical understanding of their behavior, (c) explaining anomalyβ¦
π2
πA Review on Graph Neural Network Methods in Financial Applications
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Financial #Applications #review
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Financial #Applications #review
πA review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
π Journal: J BIG DATA-GER (I.F= 8.1)
πPublish year: 2024
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #architectures #applications #future #review
π Journal: J BIG DATA-GER (I.F= 8.1)
πPublish year: 2024
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #architectures #applications #future #review
π3
πNetwork embedding: Taxonomies, frameworks and applications
π Journal: Computer Science Review (I.F= 12.9)
πPublish year: 2020
π©βπAuthors: Mingliang Hou (Dalian University of Technology), Jing Ren (Dalian University of Technology), Da Zhang (University of Miami), Xiangjie Kong (Zhejiang University of Technology), Dongyu Zhang (Dalian University of Technology), Feng Xia (Federation University Australia)
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #embedding #Taxonomies #frameworks #applications
π Journal: Computer Science Review (I.F= 12.9)
πPublish year: 2020
π©βπAuthors: Mingliang Hou (Dalian University of Technology), Jing Ren (Dalian University of Technology), Da Zhang (University of Miami), Xiangjie Kong (Zhejiang University of Technology), Dongyu Zhang (Dalian University of Technology), Feng Xia (Federation University Australia)
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #embedding #Taxonomies #frameworks #applications
π1
π Understanding Graph Embedding Methods and Their Applications
π Journal: Society for Industrial and Applied Mathematic (I.F=1.698)
π Publish year: 2021
π§βπ»Authors: Mengjia Xu
π’Universities: Massachusetts Institute of Technology
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Applications #graph_Embedding
π Journal: Society for Industrial and Applied Mathematic (I.F=1.698)
π Publish year: 2021
π§βπ»Authors: Mengjia Xu
π’Universities: Massachusetts Institute of Technology
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Applications #graph_Embedding
π2
π Network analytics: an introduction and illustrative applications in health data science
π Journal: Journal of Information Technology Case and Application Research
π Publish year: 2023
π§βπ»Authors: Pankush Kalgotra, Ramesh Sharda
π’Universities: Auburn University, Oklahoma State University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #applications #health #data_science
π Journal: Journal of Information Technology Case and Application Research
π Publish year: 2023
π§βπ»Authors: Pankush Kalgotra, Ramesh Sharda
π’Universities: Auburn University, Oklahoma State University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #applications #health #data_science
π2β€1
π A Survey on Graph Neural Networks for Microservice-Based Cloud Applications
π Publish year: 2022
πJournal: SENSORS-BASEL (I.F=3.9)
π§βπ»Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
π’University: Dublin City University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
π Publish year: 2022
πJournal: SENSORS-BASEL (I.F=3.9)
π§βπ»Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
π’University: Dublin City University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
πSOCIAL NETWORK ANALYSIS: FROM GRAPH THEORY TO APPLICATIONS
π Publish year: 2024
πJournal: Social Communication
π§βπ»Authors: Wojciech GolΔdzinowski, WΕadysΕaw BΕocki
π’University: University of Information Technology and Management in RzeszΓ³w
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Applications
π Publish year: 2024
πJournal: Social Communication
π§βπ»Authors: Wojciech GolΔdzinowski, WΕadysΕaw BΕocki
π’University: University of Information Technology and Management in RzeszΓ³w
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Applications
π3π1
πGraph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications
π Publish year: 2024
πJournal: Information (I.F=2.4)
π§βπ»Authors: Annielle Mendes Brito da Silva, Natiele Carla da Silva Ferreira, Luiza Amara Maciel Braga, Fabio Batista Mota, Victor Maricato, Luiz Anastacio Alves
π’Universities: Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Pontifical Catholic University of Rio de Janeiro, Karolinska Institutet
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Mapping #Landscape #Applications
π Publish year: 2024
πJournal: Information (I.F=2.4)
π§βπ»Authors: Annielle Mendes Brito da Silva, Natiele Carla da Silva Ferreira, Luiza Amara Maciel Braga, Fabio Batista Mota, Victor Maricato, Luiz Anastacio Alves
π’Universities: Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Pontifical Catholic University of Rio de Janeiro, Karolinska Institutet
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Mapping #Landscape #Applications
β€1