πA Comprehensive Survey on Deep Graph Representation Learning
π Publish year: 2023
π Journal: Journal of Artificial Intelligence Research (I.F=5)
π§βπ»Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
π’Universities: University of Electronic Science and Technology of China
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
π Publish year: 2023
π Journal: Journal of Artificial Intelligence Research (I.F=5)
π§βπ»Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
π’Universities: University of Electronic Science and Technology of China
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
π2β€1
π A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives
π Publish year: 2023
π§βπ»Authors: Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun
π’University: ShanghaiTech Univ, China and SHIC, China
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
π Publish year: 2023
π§βπ»Authors: Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun
π’University: ShanghaiTech Univ, China and SHIC, China
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
π3
π Graph Neural Network-based EEG Classification: A Survey
π Publish year: 2023
π§βπ»Authors: Dominik Klepl, Min Wu, and Fei He
π’University: Coventry University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
π Publish year: 2023
π§βπ»Authors: Dominik Klepl, Min Wu, and Fei He
π’University: Coventry University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
π4β€1
π A Survey of Large Language Models for Graphs
π Publish year: 2024
π§βπ»Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang
π’University: University of Hong Kong
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #LLM
π Publish year: 2024
π§βπ»Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang
π’University: University of Hong Kong
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #LLM
π Emerging landscape of molecular interaction networks:
Opportunities, challenges and prospects
π Publish year: 2022
πJournal: Journal of Biosciences(I.F=2.9)
π§βπ»Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka
π’University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
Opportunities, challenges and prospects
π Publish year: 2022
πJournal: Journal of Biosciences(I.F=2.9)
π§βπ»Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka
π’University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
π1
πCommunity detection (clustering network data) and modularity
π₯Free recorded course by Prof. Samin Aref
π₯Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal partitions
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #Graph #Community_detection #modularity
π₯Free recorded course by Prof. Samin Aref
π₯Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal partitions
π½ Watch
π²Channel: @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, optimalβ¦
Prof. Samin Aref
Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimalβ¦
π₯3
π A Survey on Graph Neural Networks for Microservice-Based Cloud Applications
π Publish year: 2022
πJournal: SENSORS-BASEL (I.F=3.9)
π§βπ»Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
π’University: Dublin City University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
π Publish year: 2022
πJournal: SENSORS-BASEL (I.F=3.9)
π§βπ»Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
π’University: Dublin City University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
π Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
π Publish year: 2023
πJournal: Transactions on Graph Data and Knowledge (TGDK)
π§βπ»Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto JimΓ©nez-Ruiz, Vanessa LΓ³pez, Pierre Monnin, Catia Pesquita, Petr Ε koda, Valentina Tamm
π’Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, UniversitΓ© CΓ΄te dβAzur, Inria, Charles University, Prague, Czechia
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
π Publish year: 2023
πJournal: Transactions on Graph Data and Knowledge (TGDK)
π§βπ»Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto JimΓ©nez-Ruiz, Vanessa LΓ³pez, Pierre Monnin, Catia Pesquita, Petr Ε koda, Valentina Tamm
π’Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, UniversitΓ© CΓ΄te dβAzur, Inria, Charles University, Prague, Czechia
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
π5
π Graph Neural Networks Designed for Different Graph Types: A Survey
π Publish year: 2023
π§βπ»Authors: Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara HolzhΓΌter
π’University: University of Kassel, Germany
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Different #Types #Survey
π Publish year: 2023
π§βπ»Authors: Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara HolzhΓΌter
π’University: University of Kassel, Germany
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Different #Types #Survey
π4
πDeep learning for graph structured data
πDoctoral thesis
πPublish year: 2024
π§βπ»Author: Dwivedi Vijay Prakash
π’University: Nanyang Technological University, Singapore
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Deep_learning #structured_data
πDoctoral thesis
πPublish year: 2024
π§βπ»Author: Dwivedi Vijay Prakash
π’University: Nanyang Technological University, Singapore
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Deep_learning #structured_data
π2π1
πLearning on Graphs Conference 2022
π₯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.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Learning #Graph
π₯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.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Learning #Graph
π2
πEmpowering Graph Neural Networks for Real-World Tasks
πDoctoral thesis
πPublish year: 2024
π§βπ»Author: Zhichun Guo
π’University: University of Notre Dame, Indiana
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Empowering #GNN #Real_world
πDoctoral thesis
πPublish year: 2024
π§βπ»Author: Zhichun Guo
π’University: University of Notre Dame, Indiana
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Empowering #GNN #Real_world
π4
π Graph Convolutional Neural Networks for Traffic
Forecasting and Prediction: A Review
π Publish year: 2024
πConference: AIP Conference Proceedings
π§βπ»Authors: Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee
π’University: Department of Computer Science & Engineering BIT Mesra, Ranchi, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GCN #Traffic_Forecasting #Prediction #Review
Forecasting and Prediction: A Review
π Publish year: 2024
πConference: AIP Conference Proceedings
π§βπ»Authors: Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee
π’University: Department of Computer Science & Engineering BIT Mesra, Ranchi, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GCN #Traffic_Forecasting #Prediction #Review
π1
π A Survey on Machine Learning Solutions for Graph Pattern Extraction
π Publish year: 2022
π§βπ»Authors:Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han
π’University: g, Nanyang Technological University
πΊ China, Singapore
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Machine_learning #Pattern
π Publish year: 2022
π§βπ»Authors:Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han
π’University: g, Nanyang Technological University
πΊ China, Singapore
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Machine_learning #Pattern
π2π2
πA Comprehensive Survey on Graph Summarization
with Graph Neural Networks
π Publish year: 2023
πJournal: IEEE Transactions on Artificial Intelligence
π§βπ»Authors: Nasrin Shabani, Jia Wu Senior Member, IEEE, Amin Beheshti, Quan Z. Sheng Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
π’University: Macquarie University, NSW, Australia
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Summarization #GNN #Survey
with Graph Neural Networks
π Publish year: 2023
πJournal: IEEE Transactions on Artificial Intelligence
π§βπ»Authors: Nasrin Shabani, Jia Wu Senior Member, IEEE, Amin Beheshti, Quan Z. Sheng Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
π’University: Macquarie University, NSW, Australia
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Summarization #GNN #Survey
π3π2
Quantum_Social_Network_Analysis_for_Community_Detection_A_Comprehensive.pdf
706.6 KB
π Quantum-Social Network Analysis for Community Detection: A Comprehensive Review
π Publish year: 2024
πJournal: IEEE Transactions on Computational Social Systems (I.F: 5.61)
π§βπ»Authors: Samya Muhuri; Shashank Sheshar Singh
π’University: Thapar Institute of Engineering and Technology
πΊ Country: India
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Quantum #Social_Network #Community_Detection #Review
π Publish year: 2024
πJournal: IEEE Transactions on Computational Social Systems (I.F: 5.61)
π§βπ»Authors: Samya Muhuri; Shashank Sheshar Singh
π’University: Thapar Institute of Engineering and Technology
πΊ Country: India
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Quantum #Social_Network #Community_Detection #Review
π3π₯2
πGraph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends
π Publish year: 2023
πJournal: CANCERS (I.F=5.2)
π§βπ»Authors: Grigoriy Gogoshin and Andrei S. Rodin
π’Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends
π Publish year: 2023
πJournal: CANCERS (I.F=5.2)
π§βπ»Authors: Grigoriy Gogoshin and Andrei S. Rodin
π’Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends
π3π1
πNetwork Learning for Biomarker Discovery
π Publish year: 2023
πJournal: International Journal of Network Dynamics and Intelligence (IJNDI)
π§βπ»Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
π’Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
π Publish year: 2023
πJournal: International Journal of Network Dynamics and Intelligence (IJNDI)
π§βπ»Authors: Yulian Ding, Minghan Fu, Ping Luo, Fang-Xiang Wu
π’Universities: University of Saskatchewan, S7N 5A9, Saskatoon, Canada,
University Health Network, Toronto, ON M5G 1L7, Canada,
University of Saskatchewan, S7N 5A9, Saskatoon, Canada
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Network #Learning #Biomarker #Discovery
π3
πBitcoin Fraud Detection Using Graph Neural Networks
πMaster's thesis in statistics
πPublish year: 2024
π§βπ»Author: Laxman Dahal
π’University: University of California, Los Angeles
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Bitcoin #Fraud #GNN
πMaster's thesis in statistics
πPublish year: 2024
π§βπ»Author: Laxman Dahal
π’University: University of California, Los Angeles
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Bitcoin #Fraud #GNN
π2