📄A Review of Link Prediction Applications in Network Biology
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Application #Biology #review
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Application #Biology #review
👍4
📃 Artificial Intelligence for Complex Network: Potential, Methodology and Application
🗓 Publish year: 2024
🧑💻Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
🏢University: Tsinghua University
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📱Channel: @ComplexNetworkAnalysis
#paper #Artificial_Intelligence #Potential #Methodology #Application
🗓 Publish year: 2024
🧑💻Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
🏢University: Tsinghua University
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📱Channel: @ComplexNetworkAnalysis
#paper #Artificial_Intelligence #Potential #Methodology #Application
👍3🔥2
📃 A Survey on Temporal Knowledge Graph: Representation Learning and Applications
🗓 Publish year: 2024
🧑💻Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
🏢Universities: East China Nomal University, Guizhou University, Tsinghua University
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📱Channel: @ComplexNetworkAnalysis
#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey
🗓 Publish year: 2024
🧑💻Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
🏢Universities: East China Nomal University, Guizhou University, Tsinghua University
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📱Channel: @ComplexNetworkAnalysis
#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey
👍3👏2
🎓Study of Tensor Network Applications in Complex Networks
📘Integrated master's thesis in engineering physics
🗓Publish year: 2022
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Tensor_Networks #Application
📘Integrated master's thesis in engineering physics
🗓Publish year: 2022
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Tensor_Networks #Application
👍2👏2
📃 Knowledge Graphs and their Applications in Civil Security
🗓 Publish year: 2020
🧑💻Authors: Simon Ott, Daria Liakhovets, Mina Schütz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
🏢University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria
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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Application #Civil_Security
🗓 Publish year: 2020
🧑💻Authors: Simon Ott, Daria Liakhovets, Mina Schütz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
🏢University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria
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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Application #Civil_Security
👍1
📃 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
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs #Healthcare #Application
🗓 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
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs #Healthcare #Application
📃Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review
🗓 Publish year: 2024
📘Journal: Logistics (I.F=3.7)
🧑💻Authors: Ana Isabel Bento , Carla Cruz , Gabriela Fernandes and Luís Miguel D. F. Ferreira
🏢University: University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal
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📱Channel: @ComplexNetworkAnalysis
#paper #Application #Metric #Management #Supply #Chain #review
🗓 Publish year: 2024
📘Journal: Logistics (I.F=3.7)
🧑💻Authors: Ana Isabel Bento , Carla Cruz , Gabriela Fernandes and Luís Miguel D. F. Ferreira
🏢University: University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal
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📱Channel: @ComplexNetworkAnalysis
#paper #Application #Metric #Management #Supply #Chain #review
❤2👍2
📃Artificial Intelligence for Complex Network: Potential,
Methodology and Application
🗓 Publish year: 2024
🧑💻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
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📱Channel: @ComplexNetworkAnalysis
#paper #AI #Application
Methodology and Application
🗓 Publish year: 2024
🧑💻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
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #AI #Application
🎞 An Introduction to Graph Neural Networks: Models and Applications
💥Free Recorded Lecture on Applications of Graph Neural Networks.
🔹Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding the information of individual elements as nodes and their relationships as edges — GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Application
💥Free Recorded Lecture on Applications of Graph Neural Networks.
🔹Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding the information of individual elements as nodes and their relationships as edges — GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #GNN #Application
YouTube
An Introduction to Graph Neural Networks: Models and Applications
MSR Cambridge, AI Residency Advanced Lecture Series
An Introduction to Graph Neural Networks: Models and Applications
Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding…
An Introduction to Graph Neural Networks: Models and Applications
Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding…
👍1
📃A Survey on Graph Neural Networks and its Applications in Various Domains
🗓Publish year: 2025
🧑💻Authors: Tejaswini R. Murgod, P. Srihith Reddy, Shamitha Gaddam, S. Meenakshi Sundaram & C. Anitha
🏢University: BNM Institute of Technology, NITTE Meenakshi Institute of Technology,
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📲Channel: @ComplexNetworkAnalysis
#Paper #Survey #GNN #Application
🗓Publish year: 2025
🧑💻Authors: Tejaswini R. Murgod, P. Srihith Reddy, Shamitha Gaddam, S. Meenakshi Sundaram & C. Anitha
🏢University: BNM Institute of Technology, NITTE Meenakshi Institute of Technology,
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📲Channel: @ComplexNetworkAnalysis
#Paper #Survey #GNN #Application
👍1
📃A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
🗓 Publish year: 2025
🧑💻Authors: Jiaqi HAN, Jiacheng CEN, Liming WU, Zongzhao LI, Xiangzhe KONG, Rui JIAO, Ziyang YU, Tingyang XU, Fandi WU, Zihe WANG, Hongteng XU, Zhewei WEI, Deli ZHAO, Yang LIU, Yu RONG, Wenbing HUANG
🏢Universities: Renmin University of China, Beijing 100872, China,
Stanford University, CA 94305, USA,
Tsinghua University, Beijing 100084, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Geometric #GNN #Application #survey
🗓 Publish year: 2025
🧑💻Authors: Jiaqi HAN, Jiacheng CEN, Liming WU, Zongzhao LI, Xiangzhe KONG, Rui JIAO, Ziyang YU, Tingyang XU, Fandi WU, Zihe WANG, Hongteng XU, Zhewei WEI, Deli ZHAO, Yang LIU, Yu RONG, Wenbing HUANG
🏢Universities: Renmin University of China, Beijing 100872, China,
Stanford University, CA 94305, USA,
Tsinghua University, Beijing 100084, China
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Geometric #GNN #Application #survey
👍1