📃 Graph Time-series Modeling in Deep Learning: A Survey
🗓 Publish year: 2024
📘Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)
🧑💻Authors: Hongjie Che, Hoda Eldardiry
🏢University: Virginia Tech, USA
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
🗓 Publish year: 2024
📘Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)
🧑💻Authors: Hongjie Che, Hoda Eldardiry
🏢University: Virginia Tech, USA
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
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📃A Comprehensive Survey on Deep Graph Representation Learning
🗓 Publish year: 2023
📘 Journal: Journal of Artificial Intelligence Research (I.F=5)
🧑💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢Universities: University of Electronic Science and Technology of China
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
🗓 Publish year: 2023
📘 Journal: Journal of Artificial Intelligence Research (I.F=5)
🧑💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢Universities: University of Electronic Science and Technology of China
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
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📃 A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives
🗓 Publish year: 2023
🧑💻Authors: Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun
🏢University: ShanghaiTech Univ, China and SHIC, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
🗓 Publish year: 2023
🧑💻Authors: Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun
🏢University: ShanghaiTech Univ, China and SHIC, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
👍3
📃 Graph Neural Network-based EEG Classification: A Survey
🗓 Publish year: 2023
🧑💻Authors: Dominik Klepl, Min Wu, and Fei He
🏢University: Coventry University
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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
🗓 Publish year: 2023
🧑💻Authors: Dominik Klepl, Min Wu, and Fei He
🏢University: Coventry University
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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
👍4❤1
📃 A Survey of Large Language Models for Graphs
🗓 Publish year: 2024
🧑💻Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang
🏢University: University of Hong Kong
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #LLM
🗓 Publish year: 2024
🧑💻Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang
🏢University: University of Hong Kong
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #LLM
📃 Emerging landscape of molecular interaction networks:
Opportunities, challenges and prospects
🗓 Publish year: 2022
📘Journal: Journal of Biosciences(I.F=2.9)
🧑💻Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka
🏢University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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📱Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
Opportunities, challenges and prospects
🗓 Publish year: 2022
📘Journal: Journal of Biosciences(I.F=2.9)
🧑💻Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka
🏢University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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📱Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
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🎞Community detection (clustering network data) and modularity
💥Free recorded course by Prof. Samin Aref
💥Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal partitions
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Graph #Community_detection #modularity
💥Free recorded course by Prof. Samin Aref
💥Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal partitions
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Graph #Community_detection #modularity
YouTube
Lec 34: Community detection (clustering network data) and modularity
Data Science Methods and Statistical Learning, University of Toronto
Prof. Samin Aref
Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal…
Prof. Samin Aref
Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal…
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📃 A Survey on Graph Neural Networks for Microservice-Based Cloud Applications
🗓 Publish year: 2022
📘Journal: SENSORS-BASEL (I.F=3.9)
🧑💻Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
🏢University: Dublin City University
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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
🗓 Publish year: 2022
📘Journal: SENSORS-BASEL (I.F=3.9)
🧑💻Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
🏢University: Dublin City University
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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
📃 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
🗓 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
👍5
📃 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
🗓 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
👍4
🎓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
📘Doctoral thesis
🗓Publish year: 2024
🧑💻Author: Dwivedi Vijay Prakash
🏢University: Nanyang Technological University, Singapore
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📱Channel: @ComplexNetworkAnalysis
#Thesis #Deep_learning #structured_data
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🎞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
💥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
👍2
🎓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
📘Doctoral thesis
🗓Publish year: 2024
🧑💻Author: Zhichun Guo
🏢University: University of Notre Dame, Indiana
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Empowering #GNN #Real_world
👍4
📃 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
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
👍1
📃 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
🗓 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
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📃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
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Summarization #GNN #Survey
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
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Summarization #GNN #Survey
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Quantum_Social_Network_Analysis_for_Community_Detection_A_Comprehensive.pdf
706.6 KB
📃 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
🗓 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
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