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πŸ“ƒA Comprehensive Survey on Deep Graph Representation Learning

πŸ—“ Publish year: 2024
πŸ“˜Journal: Neural Networks(I.F=6)

πŸ§‘β€πŸ’»Authors: Wei Ju a, Zheng Fang b, Yiyang Gu a, Zequn Liu a, Qingqing Long c, Ziyue Qiao d, Yifang Qin a, Jianhao Shen a, Fang Sun e, Zhiping Xiao e, Junwei Yang a, Jingyang Yuan a, Yusheng Zhao a, Yifan Wang f, Xiao Luo e, Ming Zhang
🏒Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
πŸ“ƒGraph theory in ecological network analysis: A systematic review for connectivity assessment

πŸ—“ Publish year: 2024
πŸ“˜Journal: Journal of Cleaner Production (I.F=9.7)

πŸ§‘β€πŸ’»Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
🏒Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
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πŸ“ƒA Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin
🏒Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology.

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey
πŸ‘2
πŸ“ƒSurvey on Graph Neural Networks

πŸ—“ Publish year: 2024
πŸ“˜Journal: Journal of Cleaner Production (I.F=9.7)

πŸ§‘β€πŸ’»Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS
🏒Universities: Information Technologies Institute (IT)

πŸ“Ž Study paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
πŸ‘1
πŸ“ƒGraph structural complexity

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Andrew Snarskii
🏒Universities: The National Technical University of Ukraine

πŸ“Ž Study paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Graph #complexity #structural
πŸ‘3
πŸ“•Learning Analytics Methods and Tutorials

πŸ—“Publish year: 2024

πŸ“Ž Study the book

πŸ“±Channel: @ComplexNetworkAnalysis
#book #Learning #Analytics #Method #Tutorials
πŸ‘1
πŸ“ƒA Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting

πŸ—“ Publish year: 2024
πŸ“˜
Journal: ACM Computing Surveys (I.F=23.8)

πŸ§‘β€πŸ’»Authors: : Manali Patel, Krupa Jariwala, CHIRANJOY CHATTOPADHYAY
🏒Universities: Sardar Vallabhbhai National Institute of Technology, Surat, India.
FLAME University, Pune, India.


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Stock_Market #Forecasting #review
❀1πŸ‘1
πŸ“ƒLarge Language Models on Graphs: A Comprehensive Survey

πŸ—“ Publish year: 2023
πŸ“˜
Journal: Computation and Language (I.F=1.8)

πŸ§‘β€πŸ’»Authors: Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Language_Models #survey
πŸ‘1
πŸ“ƒGraph neural network based intelligent tutoring system: A survey

πŸ—“ Publish year: 2024
πŸ“˜
Journal: Neurocomputing (I.F=5.5)

πŸ§‘β€πŸ’»Authors: Juhua Pu a, Shufei Li a, Meng Guo a, Xi Chen a, Zhang Xiong
🏒Universities: Beihang University, China.
University of International Business and Economics, China.


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #tutoring_system #survey
πŸ“ƒFake news detection: A survey of graph neural network methods

πŸ—“ Publish year: 2023
πŸ“˜
Journal: Fake news detection: A survey of graph neural network methods (I.F=7.2)

πŸ§‘β€πŸ’»Authors: Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang
🏒Universities: Yeungnam University, Gyeongsan, South Korea.
Nguyen Tat Thanh University, Ho Chi Minh, Vietnam.

Wroclaw University of Science and Technology, Wroclaw, Poland.

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Fake_news #GNN #survey
πŸ‘2❀1πŸ”₯1
πŸ“ƒArtificial Intelligence for Complex Network: Potential,
Methodology and Application

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
🏒Universities: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist)China

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #AI #Application
Forwarded from Bioinformatics
πŸ“ƒNetwork Modeling and Control of Dynamic Disease Pathways, Review and Perspectives

πŸ“˜Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics (I.F.=3.6)
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Yen-Che Hsiao; Abhishek Dutta
🏒University: University of Connecticut, USA

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #pathway #network
πŸ‘3
πŸ“ƒA Comprehensive Survey on Automatic Knowledge Graph Construction

πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU
🏒Universities: Macquarie University, Beihang University, Hefei University of Technology

πŸ“Ž Study paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Graph #knowledge_graph #Survey
πŸ‘3
πŸŽ“Graph Data Science and machine learning applications

πŸ“•Master Degree Thesis by Antonella Cardillo form POLITECNICO DI TORINO

πŸ—“Publish year: 2024

πŸ“Ž Study thesis

πŸ“²Channel: @ComplexNetworkAnalysis
#thesis #Graph #machine_learning #Data_Science
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