📃 Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

🗓 Publish year: 2023
📘Journal: Transactions on Graph Data and Knowledge (TGDK)

🧑‍💻Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Škoda, Valentina Tamm
🏢Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, Université Côte d’Azur, Inria, Charles University, Prague, Czechia

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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities

📃 Graph Neural Networks Designed for Different Graph Types: A Survey

🗓 Publish year: 2023

🧑‍💻Authors: Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter
🏢University: University of Kassel, Germany

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Different #Types #Survey

🎓Deep learning for graph structured data

📘Doctoral thesis
🗓Publish year: 2024

🧑‍💻Author: Dwivedi Vijay Prakash
🏢University: Nanyang Technological University, Singapore

📎Study Thesis

📱Channel: @ComplexNetworkAnalysis

#Thesis #Deep_learning #structured_data

🎞Learning on Graphs Conference 2022

💥Learning on Graphs Conference is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #Learning #Graph

🎓Empowering Graph Neural Networks for Real-World Tasks

📘Doctoral thesis
🗓Publish year: 2024

🧑‍💻Author: Zhichun Guo
🏢University: University of Notre Dame, Indiana

📎Study Thesis

📱Channel: @ComplexNetworkAnalysis
#Thesis #Empowering #GNN #Real_world

📃 Graph Convolutional Neural Networks for Traffic
Forecasting and Prediction: A Review

🗓 Publish year: 2024
📘Conference: AIP Conference Proceedings

🧑‍💻Authors: Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee
🏢University: Department of Computer Science & Engineering BIT Mesra, Ranchi, India

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📱Channel: @ComplexNetworkAnalysis
#paper #GCN #Traffic_Forecasting #Prediction #Review

📃 A Survey on Machine Learning Solutions for Graph Pattern Extraction

🗓 Publish year: 2022

🧑‍💻Authors:Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han
🏢University: g, Nanyang Technological University
🗺 China, Singapore

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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Machine_learning #Pattern

📃A Comprehensive Survey on Graph Summarization
with Graph Neural Networks

🗓 Publish year: 2023
📘Journal: IEEE Transactions on Artificial Intelligence

🧑‍💻Authors: Nasrin Shabani, Jia Wu Senior Member, IEEE, Amin Beheshti, Quan Z. Sheng Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
🏢University: Macquarie University, NSW, Australia

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Summarization #GNN #Survey

📃 Quantum-Social Network Analysis for Community Detection: A Comprehensive Review

🗓 Publish year: 2024
📘Journal: IEEE Transactions on Computational Social Systems (I.F: 5.61)

🧑‍💻Authors: Samya Muhuri; Shashank Sheshar Singh
🏢University: Thapar Institute of Engineering and Technology
🗺 Country: India

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📲Channel: @ComplexNetworkAnalysis
#paper #Quantum #Social_Network #Community_Detection #Review

📃Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends

🗓 Publish year: 2023
📘Journal: CANCERS (I.F=5.2)

🧑‍💻Authors: Grigoriy Gogoshin and Andrei S. Rodin
🏢Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends

📃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

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📱Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery

🎓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

📃 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

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📲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

📃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

📃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

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📱Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review

🎓 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

📃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

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Epidemic #review

📃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

🎓 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 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

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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN