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
π2π₯2π1
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
β€3
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
π2
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¦
π1
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
π3π1
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
β€1
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
π2
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
π1
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.
β€2
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
π3
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
π1
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
β€1π1
πLarge Language Models on Graphs: A Comprehensive Survey
π Publish year: 2023
πJournal: Computation and Language (I.F=1.8)
π§βπ»Authors: Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Language_Models #survey
π Publish year: 2023
πJournal: Computation and Language (I.F=1.8)
π§βπ»Authors: Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Language_Models #survey
π1
πGraph neural network based intelligent tutoring system: A survey
π Publish year: 2024
πJournal: Neurocomputing (I.F=5.5)
π§βπ»Authors: Juhua Pu a, Shufei Li a, Meng Guo a, Xi Chen a, Zhang Xiong
π’Universities: Beihang University, China.
University of International Business and Economics, China.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #tutoring_system #survey
π Publish year: 2024
πJournal: Neurocomputing (I.F=5.5)
π§βπ»Authors: Juhua Pu a, Shufei Li a, Meng Guo a, Xi Chen a, Zhang Xiong
π’Universities: Beihang University, China.
University of International Business and Economics, China.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #tutoring_system #survey
πFake news detection: A survey of graph neural network methods
π Publish year: 2023
πJournal: Fake news detection: A survey of graph neural network methods (I.F=7.2)
π§βπ»Authors: Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang
π’Universities: Yeungnam University, Gyeongsan, South Korea.
Nguyen Tat Thanh University, Ho Chi Minh, Vietnam.
Wroclaw University of Science and Technology, Wroclaw, Poland.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Fake_news #GNN #survey
π Publish year: 2023
πJournal: Fake news detection: A survey of graph neural network methods (I.F=7.2)
π§βπ»Authors: Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang
π’Universities: Yeungnam University, Gyeongsan, South Korea.
Nguyen Tat Thanh University, Ho Chi Minh, Vietnam.
Wroclaw University of Science and Technology, Wroclaw, Poland.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Fake_news #GNN #survey
π2β€1π₯1
πArtificial Intelligence for Complex Network: Potential,
Methodology and Application
π Publish year: 2024
π§βπ»Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
π’Universities: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist)China
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #AI #Application
Methodology and Application
π Publish year: 2024
π§βπ»Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
π’Universities: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist)China
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #AI #Application