πA key review on graph data science: The power of graphs in scientific studies
π Publish year: 2023
πJournal: Chemometrics and Intelligent Laboratory Systems (I.F=3.7)
π§βπ»Authors: Resul Das, Mucahit Soylu
π’University: Firat University, Faculty of Technology, Department of Software Engineering, 23119, Elazig, Turkiye and
Inonu University, Organized Industrial Zone Vocational School, Department of Computer Programming, 44280, Malatya, Turkiye
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #data_science #power #Graph #review
π Publish year: 2023
πJournal: Chemometrics and Intelligent Laboratory Systems (I.F=3.7)
π§βπ»Authors: Resul Das, Mucahit Soylu
π’University: Firat University, Faculty of Technology, Department of Software Engineering, 23119, Elazig, Turkiye and
Inonu University, Organized Industrial Zone Vocational School, Department of Computer Programming, 44280, Malatya, Turkiye
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #data_science #power #Graph #review
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¦
πHeterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective
π Publish year: 2024
πJournal: Informatics and Health
π§βπ»Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang
π’University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous #biomedical #data_mining #review
π Publish year: 2024
πJournal: Informatics and Health
π§βπ»Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang
π’University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Heterogeneous #biomedical #data_mining #review
π Graphs and networks. Graph-theoretical approach. Complex network analysis
π₯Complex network analysis by Maksym Tsizh
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph
π₯Complex network analysis by Maksym Tsizh
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph
YouTube
Lecture 2: Graphs and networks. Graph-theoretical approach. Complex network analysis, Aug 5, 2024
πNetwork Inference And Graph Learning in Characterising Alzheimerβs Disease
πPhD Thesis form Coventry University, England
πPublish year: 2024
π Study thesis
β‘οΈChannel: @ComplexNetworkAnalysis
#thesis #Alzheimer #inference
πPhD Thesis form Coventry University, England
πPublish year: 2024
π Study thesis
β‘οΈChannel: @ComplexNetworkAnalysis
#thesis #Alzheimer #inference
π Graph Neural Networks with Missing Node Features
π₯Free recorded tutorial by Emanuele Rossi
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Node #Feature
π₯Free recorded tutorial by Emanuele Rossi
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Node #Feature
YouTube
Graph Neural Networks with Missing Node Features | Emanuele Rossi
Join the Learning on Graphs and Geometry Reading Group:
https://hannes-stark.com/logag-reading-group
Paper βOn the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Featuresβ: https://arxiv.org/abs/2111.12128
Abstract: Whileβ¦
https://hannes-stark.com/logag-reading-group
Paper βOn the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Featuresβ: https://arxiv.org/abs/2111.12128
Abstract: Whileβ¦
πSOCIAL NETWORK ANALYSIS: FROM GRAPH THEORY TO APPLICATIONS
π Publish year: 2024
πJournal: Social Communication
π§βπ»Authors: Wojciech GolΔdzinowski, WΕadysΕaw BΕocki
π’University: University of Information Technology and Management in RzeszΓ³w
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Applications
π Publish year: 2024
πJournal: Social Communication
π§βπ»Authors: Wojciech GolΔdzinowski, WΕadysΕaw BΕocki
π’University: University of Information Technology and Management in RzeszΓ³w
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Applications
πOptimizing Graph Theory Algorithms for Social Network Analysis
π Publish year: 2024
πJournal: Communications on Applied Nonlinear Analysis
π§βπ»Authors: Susanta Kumar Sahoo,Sasmita Mishra
π’University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms
π Publish year: 2024
πJournal: Communications on Applied Nonlinear Analysis
π§βπ»Authors: Susanta Kumar Sahoo,Sasmita Mishra
π’University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Optimizing #Algorithms
πA Comprehensive Survey on Deep Graph Representation Learning
π Publish year: 2024
πJournal: Neural Networks(I.F=6)
π§βπ»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
π’Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
π Publish year: 2024
πJournal: Neural Networks(I.F=6)
π§βπ»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
π’Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
πGraph theory in ecological network analysis: A systematic review for connectivity assessment
π Publish year: 2024
πJournal: Journal of Cleaner Production (I.F=9.7)
π§βπ»Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
π’Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
π Publish year: 2024
πJournal: Journal of Cleaner Production (I.F=9.7)
π§βπ»Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang
π’Universities: University of Tehran, Tehran, Iran.
Zabol University, Zabol, Iran.
University of Sheffield, Western Bank, S10 2TN, Sheffield, UK.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #ecological #connectivity #assessment #review
πA Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
π Publish year: 2024
π§βπ»Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin
π’Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey
π Publish year: 2024
π§βπ»Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin
π’Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey
πSurvey on Graph Neural Networks
π Publish year: 2024
πJournal: Journal of Cleaner Production (I.F=9.7)
π§βπ»Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS
π’Universities: Information Technologies Institute (IT)
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
π Publish year: 2024
πJournal: Journal of Cleaner Production (I.F=9.7)
π§βπ»Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS
π’Universities: Information Technologies Institute (IT)
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN #Survey
πGraph Clustering Algorithms: Usage and Comparison
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Clustering
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Clustering
Memgraph
Graph Clustering Algorithms: Usage and Comparison
From social networks and biological systems to recommendation engines, graph clustering algorithms enable data scientists to gain insights and make informed decisions that create value.
πGraph structural complexity
π Publish year: 2024
π§βπ»Authors: Andrew Snarskii
π’Universities: The National Technical University of Ukraine
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #complexity #structural
π Publish year: 2024
π§βπ»Authors: Andrew Snarskii
π’Universities: The National Technical University of Ukraine
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #complexity #structural
πLearning Analytics Methods and Tutorials
πPublish year: 2024
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Learning #Analytics #Method #Tutorials
πPublish year: 2024
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Learning #Analytics #Method #Tutorials
πA Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting
π Publish year: 2024
πJournal: ACM Computing Surveys (I.F=23.8)
π§βπ»Authors: : Manali Patel, Krupa Jariwala, CHIRANJOY CHATTOPADHYAY
π’Universities: Sardar Vallabhbhai National Institute of Technology, Surat, India.
FLAME University, Pune, India.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Stock_Market #Forecasting #review
π Publish year: 2024
πJournal: ACM Computing Surveys (I.F=23.8)
π§βπ»Authors: : Manali Patel, Krupa Jariwala, CHIRANJOY CHATTOPADHYAY
π’Universities: Sardar Vallabhbhai National Institute of Technology, Surat, India.
FLAME University, Pune, India.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Stock_Market #Forecasting #review