πA Network Science perspective of Graph Convolutional Networks: A survey
πJournal: FUTURE INTERNET
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #perspective #Convolutional #survey
πJournal: FUTURE INTERNET
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #perspective #Convolutional #survey
πBlockchain Data Analysis from the Perspective of Complex Networks: Overview
πJournal: Tsinghua Science and Technology (I.F=3.515)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Blockchain #Perspective #Overview
πJournal: Tsinghua Science and Technology (I.F=3.515)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Blockchain #Perspective #Overview
πRecommending on graphs: a comprehensive review from a data perspective
π Journal: User Modeling and User-Adapted Interaction (I.F=5.7)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Recommending #perspective #review
π Journal: User Modeling and User-Adapted Interaction (I.F=5.7)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Recommending #perspective #review
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π Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
π Publish year: 2022
πConference: International Joint Conference on Artificial Intelligence
π§βπ»Authors: Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye,Dongrui Fan, Shirui Pan, Yuan Xie
π’Universities: University of Chinese Academy of Sciences,Tsinghua University, Monash University, University of California
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Acceleration #Algorithmic #Perspective #survey
π Publish year: 2022
πConference: International Joint Conference on Artificial Intelligence
π§βπ»Authors: Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye,Dongrui Fan, Shirui Pan, Yuan Xie
π’Universities: University of Chinese Academy of Sciences,Tsinghua University, Monash University, University of California
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Acceleration #Algorithmic #Perspective #survey
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πGraph Neural Networks in Computational Biology: A Personal Perspective
π₯Free recorded tutorial by Petar VeliΔkoviΔ
π₯Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the back-bone for machine learning applications in drug discovery, modeling of small molecules, and more broader applications of computational biology.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Computational #Biology #perspective
π₯Free recorded tutorial by Petar VeliΔkoviΔ
π₯Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the back-bone for machine learning applications in drug discovery, modeling of small molecules, and more broader applications of computational biology.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Computational #Biology #perspective
YouTube
Graph Neural Networks in Computational Biology: A Personal Perspective - Petar VeliΔkoviΔ
Title: Graph Neural Networks in Computational Biology: A Personal Perspective
Abstract:
Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form theβ¦
Abstract:
Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form theβ¦