📃A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
🗓 Publish year: 2024
📘Journal: Electronics (I.F=2.6)
🧑💻Authors: Prohim Tam ,Seyha Ros ,Inseok Song ,Seungwoo Kang andSeokhoon Kim
🏢University: Soonchunhyang University, Republic of Korea
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Intelligent #GNN #Deep #Reinforcement_Learning #survey
🗓 Publish year: 2024
📘Journal: Electronics (I.F=2.6)
🧑💻Authors: Prohim Tam ,Seyha Ros ,Inseok Song ,Seungwoo Kang andSeokhoon Kim
🏢University: Soonchunhyang University, Republic of Korea
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Intelligent #GNN #Deep #Reinforcement_Learning #survey
Forwarded from Bioinformatics
🎓Comparing link prediction and classification for Gene-Disease association discovery
📕MSc thesis from University of Lisbon, Portugal
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_disease #Link_prediction
📕MSc thesis from University of Lisbon, Portugal
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #gene_disease #Link_prediction
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📃Connecting the dots: Computational network analysis for disease insight and drug repurposing
🗓 Publish year: 2024
📘Journal: Current Opinion in Structural Biology (COSB) (I.F=6.1)
🧑💻Authors: Nicoleta Siminea, Eugen Czeizler, Victor-Bogdan Popescu, Ion Petre and Andrei Paun
🏢Universities: University of Bucharest, Romania
University of Helsinki, Finland
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Connecting #Computational #disease #drug #repurposing
🗓 Publish year: 2024
📘Journal: Current Opinion in Structural Biology (COSB) (I.F=6.1)
🧑💻Authors: Nicoleta Siminea, Eugen Czeizler, Victor-Bogdan Popescu, Ion Petre and Andrei Paun
🏢Universities: University of Bucharest, Romania
University of Helsinki, Finland
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Connecting #Computational #disease #drug #repurposing
📃From time-series transcriptomics to gene regulatory networks: A review on inference methods
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
🗓 Publish year: 2023
📘Journal: PLOS Computational Biology
🧑💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review
👍3❤1
📃A Review of Visibility Graph Analysis
🗓 Publish year: 2024
📘Journal: IEEE Access (3.4)
🧑💻Authors: Hadis Azizi, Sadegh Sulaimany
🏢Universities: University of Kurdistan, Sanandaj, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Visibility_Graph #review
🗓 Publish year: 2024
📘Journal: IEEE Access (3.4)
🧑💻Authors: Hadis Azizi, Sadegh Sulaimany
🏢Universities: University of Kurdistan, Sanandaj, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Visibility_Graph #review
👏2
🎞Theoretical Foundations of Graph Neural Networks
💥Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Theoretical_Foundations #GNN
💥Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Theoretical_Foundations #GNN
YouTube
Theoretical Foundations of Graph Neural Networks
Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
Computer Laboratory Wednesday Seminar, 17 February 2021
Slide deck: https://petar-v.com/talks/GNN…
Computer Laboratory Wednesday Seminar, 17 February 2021
Slide deck: https://petar-v.com/talks/GNN…
📃Disinformation detection using graph neural networks: a survey
🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (10.7)
🧑💻Authors: Batool Lakzaei, Mostafa Haghir Chehreghani & Alireza Bagheri
🏢University: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Disinformation #GNN #survey
🗓 Publish year: 2024
📘Journal: Artificial Intelligence Review (10.7)
🧑💻Authors: Batool Lakzaei, Mostafa Haghir Chehreghani & Alireza Bagheri
🏢University: Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Disinformation #GNN #survey
👍3
🎞Graph Neural Networks for Biomedical Data
💥Free recorded tutorial by Marinka Zitnik.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Biomedical
💥Free recorded tutorial by Marinka Zitnik.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Biomedical
YouTube
Theoretical Foundations of Graph Neural Networks
Deriving graph neural networks (GNNs) from first principles, motivating their use, and explaining how they have emerged along several related research lines.
Computer Laboratory Wednesday Seminar, 17 February 2021
Slide deck: https://petar-v.com/talks/GNN…
Computer Laboratory Wednesday Seminar, 17 February 2021
Slide deck: https://petar-v.com/talks/GNN…
👍2❤1
📃 A Short Survey on Graph Neural Networks Based Stock Market Prediction Models
🗓 Publish year: 2024
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Lei Zhou, Jian Yu, Samaneh Madanian , Guiling Wang , Sira Yongchareon, Yuqi Zhang
🗺 Country: China , New Zealand
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Stock_Market #Prediction
🗓 Publish year: 2024
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Lei Zhou, Jian Yu, Samaneh Madanian , Guiling Wang , Sira Yongchareon, Yuqi Zhang
🗺 Country: China , New Zealand
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Stock_Market #Prediction
👍2🔥1
📃Graph Neural Networks in Point Clouds: A Survey
🗓 Publish year: 2024
📘Journal: Remote Sensing (4.9 )
🧑💻Authors: y Dilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao and Jixiang Du
🏢University: Huaqiao University, Xiamen 361021, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Point #Clouds #survey
🗓 Publish year: 2024
📘Journal: Remote Sensing (4.9 )
🧑💻Authors: y Dilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao and Jixiang Du
🏢University: Huaqiao University, Xiamen 361021, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Point #Clouds #survey
Forwarded from Bioinformatics
🎓New graph learning approaches for exploring gene and protein function
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
📃A Comprehensive Survey on Deep Graph Representation Learning Methods
🗓 Publish year: 2023
📘Journal: Journal of Artificial Intelligence Research
🧑💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢University: University of Electronic Science and Technology of China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey
🗓 Publish year: 2023
📘Journal: Journal of Artificial Intelligence Research
🧑💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢University: University of Electronic Science and Technology of China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey
👍2
🎓 Graph Neural Networks in Intrusion Detection
📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024
🧑💻Author: Nuno Ferreira
🏢University: University of Porto in Portugal
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Intrusion_Detection
📘A thesis submitted in fulfilment of the requirements for the degree of MSc. Computer Science
🗓Publish year: 2024
🧑💻Author: Nuno Ferreira
🏢University: University of Porto in Portugal
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #GNN #Intrusion_Detection
📃Recent advances in network-based methods for disease gene prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
🗓 Publish year: 2020
📘Journal: Briefings in Bioinformatics (I.F=6.8)
🧑💻Authors: Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh and Xiao-Li Li
🏢Universites: Nanyang Technological University (NTU),
Singapore Management University, Singapore,
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #disease #gene #prediction
👍2❤1
2019_A_survey_on_visualization_approaches_for_exploring_association.pdf
1.1 MB
📃 A survey on visualization approaches for exploring association relationships in graph data
🗓 Publish year: 2019
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: China
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #visualization #Graph_data
🗓 Publish year: 2019
📘 Conference: The Nineteenth International Conference on Internet and Web Applications and Services
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: China
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #visualization #Graph_data
📃The Review of Ecological Network Indicators in Graph Theory
Context: 2014-2019
🗓 Publish year: 2021
📘Journal: International Journal of Environmental Research (IJER) (I.F=2.6)
🧑💻Authors: Hassan Darabi, Rastgar Hashemi, Faroq Lotfi
🏢University: University of Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Ecological_Network #Indicators
Context: 2014-2019
🗓 Publish year: 2021
📘Journal: International Journal of Environmental Research (IJER) (I.F=2.6)
🧑💻Authors: Hassan Darabi, Rastgar Hashemi, Faroq Lotfi
🏢University: University of Tehran, Iran
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Ecological_Network #Indicators
📃 FairSNA: Algorithmic Fairness in Social Network Analysis
🗓 Publish year: 2024
📘 Journal: ACM Computing Surveys (I.F=23,8)
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: Netherlands
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Fairness #Social_Network_Analysis
🗓 Publish year: 2024
📘 Journal: ACM Computing Surveys (I.F=23,8)
🧑💻Authors: Yi Chen, Zeli Guan, Rong Zhang, Xiaomin Du & Yunhai Wang
🗺 Country: Netherlands
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Fairness #Social_Network_Analysis