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2019_Survey_on_Opinion_Leader_in_Social_Network_using_Data_Mining.pdf
434.7 KB
πŸ“„Survey on Opinion Leader in Social Network using Data Mining

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Conference: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)

πŸ—“Publish year: 2019

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Data_Mining
πŸ“„A survey of data mining and social network analysis based anomaly detection techniques

πŸ“˜
Journal: EGYPTIAN INFORMATICS JOURNAL (I.F= 4.195)

πŸ—“Publish year: 2016

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #data_mining #anomaly_detection #survey
2016_Combining complex networks and data mining Why and how.pdf
7.7 MB
πŸ“„Combining complex networks and data mining: Why and how

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Journal: PHYSICS REPORTS (I.F=30.51)

πŸ—“Publish year: 2016

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #data_mining
πŸ‘2
πŸŽ“Network-based Time series Analysis

πŸ“˜Master’s Thesis, from SCHOOL OF SCIENCE & TECHNOLOGY, Lampada Kyriaki

πŸ—“Publish year: 2022

πŸ“ŽStudy Thesis

πŸ“²Channel: @ComplexNetworkAnalysis

#Thesis #Data_Science
2020_Social Network Analysis using Python Data Mining.pdf
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πŸ“„Social Network Analysis using Python Data Mining

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Conference: International Conference on Cyber and IT Service Management (CITSM)
πŸ—“
Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Python #Data_Mining
πŸ“š Knowledge Graphs

✨This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale.

πŸ§‘β€πŸ’Ό authors: Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M Rashid, Anisa Rula, Juan Sequeda, Lukas Schmelzeisen, Steffen Staab, Antoine Zimmerman
πŸ—“Publish year: 2021

πŸ“ŽStudy

πŸ“²Channel: @ComplexNetworkAnalysis
#Book #graph #Data_Graphs #Graph_Algorithms #Graph_Analytics #Graph_Neural_Networks #Knowledge_Graphs #Social_Networks
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🎞 Network data visualization in Gephi

πŸ’₯Dr. Daria Maltseva, PhD, Head, International Laboratory for Applied Network Research, HSE.

πŸ’₯14th Summer School 'Methods and Tools for Social Network Analysis'.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Network #data #visualization #Gephi
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πŸ“ƒ Network analytics: an introduction and illustrative applications in health data science

πŸ“˜ Journal: Journal of Information Technology Case and Application Research
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Pankush Kalgotra, Ramesh Sharda
🏒Universities: Auburn University, Oklahoma State University

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #applications #health #data_science
πŸ‘2❀1
πŸ“ƒA key review on graph data science: The power of graphs in scientific studies

πŸ—“ Publish year: 2023
πŸ“˜Journal: Chemometrics and Intelligent Laboratory Systems (I.F=3.7)

πŸ§‘β€πŸ’»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

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #data_science #power #Graph #review
❀1πŸ‘1
πŸ“ƒHeterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective

πŸ—“ Publish year: 2024
πŸ“˜Journal: Informatics and Health

πŸ§‘β€πŸ’»Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang
🏒University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous #biomedical #data_mining #review
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πŸŽ“Graph Data Science and machine learning applications

πŸ“•Master Degree Thesis by Antonella Cardillo form POLITECNICO DI TORINO

πŸ—“Publish year: 2024

πŸ“Ž Study thesis

πŸ“²Channel: @ComplexNetworkAnalysis
#thesis #Graph #machine_learning #Data_Science
πŸ‘2πŸ’―1
A survey of data efficient graph learning .pdf
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πŸ“ƒA survey of data efficient graph learning

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Wei Ju, Siyu Yi , Yifan Wang , Qingqing Long , Junyu Luo , Zhiping Xiao , Ming Zhang
🏒Universities: Peking University, Nankai University,University of California Los Angeles

πŸ“Ž Study paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Graph #data #Survey
πŸ“„ Graph Data Management and Graph Machine Learning: Synergies and Opportunities

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Publish year: 2025

πŸ§‘β€πŸ’»Authors: Arijit Kha, Xiangyu Ke, Yinghui Wu
🏒University:
- Aalborg University, Denmark
- Zhejiang University, China

- Case Western Reserve University, USA

πŸ“Ž Study the paper

⚑️Channel: @ComplexNetworkAnalysis
#review #graph #machine_learning #data_management
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πŸ“ƒData Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Jiawei Xue, Ruichen Tan, Jianzhu Ma, Satish V. Ukkusuri

🏒Universities: Purdue University, West Lafayette, IN, USA.
Tsinghua University, Beijing, China.

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Data_Mining #Transportation #GNN #review