📃Network Learning for Biomarker Discovery
🗓 Publish year: 2023
📘Journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🧑💻Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
🏢Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
🗓 Publish year: 2023
📘Journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🧑💻Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
🏢Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
👍3
🎓Bitcoin Fraud Detection Using Graph Neural Networks
📘Master's thesis in statistics
🗓Publish year: 2024
🧑💻Author: Laxman Dahal
🏢University: University of California, Los Angeles
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Bitcoin #Fraud #GNN
📘Master's thesis in statistics
🗓Publish year: 2024
🧑💻Author: Laxman Dahal
🏢University: University of California, Los Angeles
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Bitcoin #Fraud #GNN
👍2
📃 A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise
🗓 Publish year: 2023
📘Journal: IEEE Transactions on Computational Social Systems (I.F: 5.61)
🧑💻Authors: Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang
🏢University: Emory University, Georgia Institute of Technology, Weill Cornell Medicine
🗺 Country: USA , Atlanta
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs #Healthcare #Application
🗓 Publish year: 2023
📘Journal: IEEE Transactions on Computational Social Systems (I.F: 5.61)
🧑💻Authors: Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang
🏢University: Emory University, Georgia Institute of Technology, Weill Cornell Medicine
🗺 Country: USA , Atlanta
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs #Healthcare #Application
🎓Graph Neural Networks for Network Analysis
📘Dissertation for the degree of Doctor of Philosophy in Statistics
🗓Publish year: 2024
🧑💻Author: Yixuan He
🏢University: Balliol College, University of Oxford
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Network_Analysis
📘Dissertation for the degree of Doctor of Philosophy in Statistics
🗓Publish year: 2024
🧑💻Author: Yixuan He
🏢University: Balliol College, University of Oxford
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Network_Analysis
📃Review of Graph Neural Networks for Medical Image Denoising
🗓 Publish year: 2023
📘Journal: EAI Endorsed Transactions on e-Learning
🧑💻Author: Jing Wang
🏢Universities: Henan Polytechnic University, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Medical #image #Denoising #review
🗓 Publish year: 2023
📘Journal: EAI Endorsed Transactions on e-Learning
🧑💻Author: Jing Wang
🏢Universities: Henan Polytechnic University, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Medical #image #Denoising #review
👍2
📃Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
🗓 Publish year: 2023
📘Journal: Journal of Big Data
🧑💻Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
🏢Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
🗓 Publish year: 2023
📘Journal: Journal of Big Data
🧑💻Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
🏢Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
👍1
🎓 Visibility Graph Networks for Time Series Forecasting
📘Thesis for the degree of Doctor of Philosophy
🗓Publish year: 2024
🧑💻Author: Shengzhong Mao
🏢University: University of Manchester
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Visibility_Graph #Time_Series #Forecasting
📘Thesis for the degree of Doctor of Philosophy
🗓Publish year: 2024
🧑💻Author: Shengzhong Mao
🏢University: University of Manchester
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Visibility_Graph #Time_Series #Forecasting
📃A Review of Graph Neural Networks in Epidemic Modeling
🗓 Publish year: 2024
🧑💻Authors: Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
🏢Universities: Emory University, College of Computing Georgia Institute of Technology
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Epidemic #review
🗓 Publish year: 2024
🧑💻Authors: Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
🏢Universities: Emory University, College of Computing Georgia Institute of Technology
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Epidemic #review
❤3👍1
📃Knowledge mapping of graph neural networks for drug discovery: a bibliometric and visualized analysis
🗓 Publish year: 2024
📘Journal: Frontiers in Pharmacology (I.F=4.4)
🧑💻Authors: Rufan Yao, Zhenhua Shen, Xinyi Xu, Guixia Ling, Rongwu Xiang, Tingyan Song, Fei Zhai and Yuxuan Zhai
🏢University: Shenyang Pharmaceutical University, Shenyang, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge #mapping #GNN #drug #discovery #visualized
🗓 Publish year: 2024
📘Journal: Frontiers in Pharmacology (I.F=4.4)
🧑💻Authors: Rufan Yao, Zhenhua Shen, Xinyi Xu, Guixia Ling, Rongwu Xiang, Tingyan Song, Fei Zhai and Yuxuan Zhai
🏢University: Shenyang Pharmaceutical University, Shenyang, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge #mapping #GNN #drug #discovery #visualized
👍2🤩1
🎓 Machine Learning for Graph Algorithms and Representations
📘A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering Sciences
🗓Publish year: 2024
🧑💻Author: Allison Mann
🏢University: College Hanover, New Hampshire
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Machine_Learning #Algorithms #Representations
📘A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering Sciences
🗓Publish year: 2024
🧑💻Author: Allison Mann
🏢University: College Hanover, New Hampshire
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Machine_Learning #Algorithms #Representations
👍1
📃 A Survey on Fake News Detection in Social Media Using Graph Neural Networks
🗓 Publish year: 2024
📘Journal: Journal of Al-Qadisiyah for Computer Science and Mathematics
🧑💻Authors: Alaa Safaa Mahdi, Narjis Mezaal Shati
🏢University: Mustansiriyah University
🗺 Country: Iraq
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
🗓 Publish year: 2024
📘Journal: Journal of Al-Qadisiyah for Computer Science and Mathematics
🧑💻Authors: Alaa Safaa Mahdi, Narjis Mezaal Shati
🏢University: Mustansiriyah University
🗺 Country: Iraq
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
❤2👍1
📃Graph neural networks: a survey on the links between privacy and security
🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (I.F=10.7)
🧑💻Authors: Faqian Guan, Tianqing Zhu, Wanlei Zhou & Kim-Kwang Raymond Choo
🏢University: China University of Geosciences,
University of Technology Sydney,
City University of Macau, Taipei, Macau,
niversity of Texas at San Antonio, San Antonio, TX, 78249-0631, USA
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #link #privacy #security #survey
🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (I.F=10.7)
🧑💻Authors: Faqian Guan, Tianqing Zhu, Wanlei Zhou & Kim-Kwang Raymond Choo
🏢University: China University of Geosciences,
University of Technology Sydney,
City University of Macau, Taipei, Macau,
niversity of Texas at San Antonio, San Antonio, TX, 78249-0631, USA
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #link #privacy #security #survey
👍2❤1👏1
📃A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
🗓 Publish year: 2024
📘Journal: Electronics (I.F=2.6)
🧑💻Authors: Prohim Tam ,Seyha Ros ,Inseok Song ,Seungwoo Kang andSeokhoon Kim
🏢University: Soonchunhyang University, Republic of Korea
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Intelligent #GNN #Deep #Reinforcement_Learning #survey
🗓 Publish year: 2024
📘Journal: Electronics (I.F=2.6)
🧑💻Authors: Prohim Tam ,Seyha Ros ,Inseok Song ,Seungwoo Kang andSeokhoon Kim
🏢University: Soonchunhyang University, Republic of Korea
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Intelligent #GNN #Deep #Reinforcement_Learning #survey
Forwarded from Bioinformatics
🎓Comparing link prediction and classification for Gene-Disease association discovery
📕MSc thesis from University of Lisbon, Portugal
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_disease #Link_prediction
📕MSc thesis from University of Lisbon, Portugal
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_disease #Link_prediction
❤2
📃Connecting the dots: Computational network analysis for disease insight and drug repurposing
🗓 Publish year: 2024
📘Journal: Current Opinion in Structural Biology (COSB) (I.F=6.1)
🧑💻Authors: Nicoleta Siminea, Eugen Czeizler, Victor-Bogdan Popescu, Ion Petre and Andrei Paun
🏢Universities: University of Bucharest, Romania
University of Helsinki, Finland
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Connecting #Computational #disease #drug #repurposing
🗓 Publish year: 2024
📘Journal: Current Opinion in Structural Biology (COSB) (I.F=6.1)
🧑💻Authors: Nicoleta Siminea, Eugen Czeizler, Victor-Bogdan Popescu, Ion Petre and Andrei Paun
🏢Universities: University of Bucharest, Romania
University of Helsinki, Finland
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Connecting #Computational #disease #drug #repurposing
📃From time-series transcriptomics to gene regulatory networks: A review on inference methods
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
👍3❤1
📃A Review of Visibility Graph Analysis
🗓 Publish year: 2024
📘Journal: IEEE Access (3.4)
🧑💻Authors: Hadis Azizi, Sadegh Sulaimany
🏢Universities: University of Kurdistan, Sanandaj, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Visibility_Graph #review
🗓 Publish year: 2024
📘Journal: IEEE Access (3.4)
🧑💻Authors: Hadis Azizi, Sadegh Sulaimany
🏢Universities: University of Kurdistan, Sanandaj, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Visibility_Graph #review
👏2
🎞Theoretical Foundations of Graph Neural Networks
💥Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Theoretical_Foundations #GNN
💥Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Theoretical_Foundations #GNN
YouTube
Theoretical Foundations of Graph Neural Networks
Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
Computer Laboratory Wednesday Seminar, 17 February 2021
Slide deck: https://petar-v.com/talks/GNN…
Computer Laboratory Wednesday Seminar, 17 February 2021
Slide deck: https://petar-v.com/talks/GNN…
📃Disinformation detection using graph neural networks: a survey
🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (10.7)
🧑💻Authors: Batool Lakzaei, Mostafa Haghir Chehreghani & Alireza Bagheri
🏢University: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Disinformation #GNN #survey
🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (10.7)
🧑💻Authors: Batool Lakzaei, Mostafa Haghir Chehreghani & Alireza Bagheri
🏢University: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Disinformation #GNN #survey
👍3