Network Analysis Resources & Updates

🎓 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

📃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

📃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

🎓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

📃 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

🎓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

📃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

📃 Attention-based graph neural networks: a survey 🗓 Publish year: 2023 🧑‍💻Authors: Chengcheng Sun, Chenhao Li, Xiang Lin, Tianji Zheng, Fanrong Meng, Xiaobin Rui & Zhixiao Wang 🏢University: China University of Mining and Technology, 🗺 Country: China 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #Attention #GNN

📃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, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Cancer #Oncology #Emerging #Trends

📃 A Comprehensive Survey on Graph Summarization with Graph Neural Networks 🗓 Publish year: 2024 📘Journal: IEEE Transactions on Artificial Intelligence (I.F= 7.25) 🧑‍💻Authors: Nasrin Shabani; Jia Wu; Amin Beheshti; Quan Z. Sheng; Jin Foo; Venus Haghighi; Ambree Hanif; Maryam Shahabikargar 🏢University: Macquarie University 🗺 Country: Australia 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #GNN #Graph_Summarization

📃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

📃 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 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Survey #Machine_learning #Pattern

📃 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 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GCN #Traffic_Forecasting #Prediction #Review

🎓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

🎞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

🎓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

📃 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 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Different #Types #Survey

📃A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications 🗓 Publish year: 2023 📘 Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2) 🧑‍💻Authors: Malihe Danesh، Morteza Dorrigiv, Farzin Yaghmaee 🏢Universities: University of Southern California, Institute for Infocomm Research (I2R) 🔸Country: 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #survey #clusterin

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