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Архив постов
📄Network Analysis of Time Series: Novel Approaches to Network Neuroscience
📘journal :Frontiers in Neuroscience (I.F= 4.3)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series #Neuroscience
📄Everything is Connected: Graph Neural Networks
📘journal: current opinion in structural biology (l.F=7.876)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN
🎓Graph entropy and related topics
📘Phd’s Dissertation, at the University of Twente.
🗓Publish year: 2023
📎Study Dissertation
📲Channel: @ComplexNetworkAnalysis
#Dissertation #Graph #Network_Comparison
📄Construction of Knowledge Graphs: Current
State and Challenges
📘journal :Computer Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Current_State
#Challenges
📄A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
📘journal: Computer Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Time_Series #Forecasting #Classification #Imputation #Anomaly_Detection #survey
🎞 Machine Learning with Graphs: Reasoning in Knowledge Graphs
, Answering Predictive Queries, Query2box: Reasoning over KGs
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥 IIn this lecture, we introduce how to perform reasoning over knowledge graphs and provide answers to complex queries. We talk about different possible queries that one can get over a knowledge graph, and how to answer them by traversing over the graph. We also show how incompleteness of knowledge graphs can limit our ability to provide complete answers. We finally talk about how we can solve this problem by generalizing the link prediction task.
📽 Watch: part1 part2 part3
📝 slide
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph
📄Fairness-Aware Graph Neural Networks: A Survey
📘journal: Computer Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Fairness #Graph_Neural_Networks #survey
📄Construction of Knowledge Graphs: Current State and Challenges
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph
🎞 UCCSS Hilbert SNA1: Social Network Analysis - network structure
💥Free recorded lecture from UCCSS (University of California Computational Social Sciences)
🔹This lecture is part of the University of California wide online course on Computational Social Science (UCCSS), produced with input from Professors from all 10 UC campuses and offered to UC students for credit since 2018. For more on this topic, see the open Online Specialization link.
📽 Watch
💻Open Online Specialization
📱Channel: @ComplexNetworkAnalysis
#video #network_structure
📄A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Survey #Neural_Network #Forecasting #Anomaly_Detection
📄Identifying spreading influence nodes for social networks
📘journal: Frontiers of Engineering Management (FEM)(I.F=7.4)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Identifying #spreading #influence_nodes
📄A Mini Review of Node Centrality Metrics in Biological Networks
📘journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Node_Centrality #Metrics #Biological_Network #Mini_Review
📄A Mini Review of Node Centrality Metrics in Biological Networks
📘journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Node_Centrality #Metrics #Biological_Network #Mini_Review
📄A Mini Review of Node Centrality Metrics in Biological Networks
📘journal: International Journal of Network Dynamics and Intelligence (IJNDI)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Node_Centrality #Metrics #Biological_Network #Mini_Review
📄Community Detection
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #Community_Detection
📄Network Analysis Based on Important Node Selection and Community Detection
📘journal: MATHEMATICS-BASEL(I.F= 2.4)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Important_Nodes #Community_Detection
📄Python modularity Examples
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #modularity
📄A survey on network node ranking algorithms: Representative methods, extensions, and applications
📘journal: Science China Technological Sciences(I.F= 4.6)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #network #node #ranking #algorithms #Representative #methods #extensions #applications #survey
📄Influence maximization on temporal
networks: a review
📘journal: Computer Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Influence #maximization #temporal_networks #review
📄Applications of link prediction in social networks: A review
📘journal: Journal of Network and Computer Applications (I.F=8.7)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Applications #link_prediction #review
