π Influential nodes identification in complex networks: a comprehensive literature review
πJournal: Beni-Suef University Journal of Basic and Applied Sciences
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #nfluential #nodes #comprehensive #review
πJournal: Beni-Suef University Journal of Basic and Applied Sciences
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #nfluential #nodes #comprehensive #review
πGraph Neural Networks for Text Classification: A Survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Text #Classification #survey
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Text #Classification #survey
π Social Network Analysis. Lecture4. Network structure and community detection
π₯Free recorded Tutorial by Leonid E. Zhokov
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Community_Detection
π₯Free recorded Tutorial by Leonid E. Zhokov
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Community_Detection
YouTube
Social Network Analysis. Lecture4. Network structure and community detection
π Machine Learning with Graphs: Theory of Graph Neural Networks
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯The topics: Graph argumentation for GNNs, Training graph neural networks, Setting up GNN prediction tasks
π½ Watch: part1 part2 part3
πSlides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯The topics: Graph argumentation for GNNs, Training graph neural networks, Setting up GNN prediction tasks
π½ Watch: part1 part2 part3
πSlides
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XQPDGQ
Jure Leskovec
Computer Science, PhD
In this lecture, we will continue talking about the different design choices when trainingβ¦
Jure Leskovec
Computer Science, PhD
In this lecture, we will continue talking about the different design choices when trainingβ¦
πA comprehensive review on knowledge graphs for complex diseases
πJournal: Briefings in Bioinformatics (I.F=13.994)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
πJournal: Briefings in Bioinformatics (I.F=13.994)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
πApplications of Differential Privacy in Social Network Analysis: A Survey
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
πJournal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Applications #Differential #Privacy #survey
πNetworks visualization
π₯Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
πGephi, Gephisto, Cytoscape, NodeXL, Graphia App
π²Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
π₯Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App
πGephi, Gephisto, Cytoscape, NodeXL, Graphia App
π²Channel: @ComplexNetworkAnalysis
#paper #tools #visualization #Gephi #Gephisto #Cytoscape #NodeXL #Graphia_App
πExploratory Social Network Analysis with Pajek
π₯The book "Exploratory Social Network Analysis with Pajek" by Wouter De Noy, Andrey Mrvar and Vladimir Batagel is dedicated to teaching social network analysis, visualization and application of this knowledge in Pajek. Ultimately, readers will gain the knowledge, skills, and tools to apply social network analysis to a variety of disciplines.
π Read online
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π₯The book "Exploratory Social Network Analysis with Pajek" by Wouter De Noy, Andrey Mrvar and Vladimir Batagel is dedicated to teaching social network analysis, visualization and application of this knowledge in Pajek. Ultimately, readers will gain the knowledge, skills, and tools to apply social network analysis to a variety of disciplines.
π Read online
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network
π Graph Neural Networks and Knowledge Graph Completion
π₯Free recorded Tutorial by Prof. Soumen Chakrabarti
π₯Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
π₯Free recorded Tutorial by Prof. Soumen Chakrabarti
π₯Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph Completion
π Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review
πJournal: Frontires in Aging Neuroscience(I.F.=5.702)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #brain #dementia
πJournal: Frontires in Aging Neuroscience(I.F.=5.702)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #brain #dementia
π Social network analysis of COVID-19 transmission in Karnataka, India
πJournal: Epidemiology & Infection (I.F.=4.434)
πPublish year: 2020
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
πJournal: Epidemiology & Infection (I.F.=4.434)
πPublish year: 2020
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Social_network #COVID_19
2023_A_Comprehensive_Survey_on_Learning_Based_Methods_for_Link_Prediction.pdf
509.7 KB
πA Comprehensive Survey on Learning Based Methods for Link Prediction Problem
πConference : International Conference on Information Systems and Computer Networks (ISCON)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
πConference : International Conference on Information Systems and Computer Networks (ISCON)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
Application Areas of Community Detection A Review.pdf
202.1 KB
π Application Areas of Community Detection: A Review
πCongress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
πCongress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
πBig data analytics meets social media: A systematic review of techniques, open issues, and future directions
πConference : Telematics and Informatics (Elsevier)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
πConference : Telematics and Informatics (Elsevier)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
A review of clique-based overlapping community detection.pdf
1.3 MB
π A review of clique-based overlapping community detection algorithms
πJournal: Knowledge and Information Systems(I.F=2.531)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
πJournal: Knowledge and Information Systems(I.F=2.531)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
π 2022 Keynote: Deep learning with Knowledge Graphs
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
YouTube
KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's Prof. Jure Leskovec
In this keynote, Stanford University's Professor Jure Leskovec discusses the recent methodological advancements that automatically learn to encode graph structure into low-dimensional embedding.
He also presents the industrial applications, software frameworksβ¦
He also presents the industrial applications, software frameworksβ¦
Understanding Ethereum via Graph Analysis.pdf
1.6 MB
π Understanding Ethereum via Graph Analysis
πConference: IEEE Conference on Computer Communications
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Ethereum #Graph
πConference: IEEE Conference on Computer Communications
πPublish year: 2018
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Ethereum #Graph
πRepresentation Learning on Graphs: Methods and Applications
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
πPublish year: 2017
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
πFrom past to present: Spam detection and identifying opinion leaders in social networks
πJournal : SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #past #present #Spam_detection #identifying #opinion #leaders
πJournal : SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #past #present #Spam_detection #identifying #opinion #leaders