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
π3π1
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
π2
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
π3
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
π4
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
π5
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¦
π2
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
π2
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
π2π₯1
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
π3π1
2022_A_Review_on_Opinion_Leader_Detection_and_its_Applications.pdf
630.7 KB
πA Review on Opinion Leader Detection and its Applications
πConference: International Conference on Communication and Electronics Systems (ICCES)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
πConference: International Conference on Communication and Electronics Systems (ICCES)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
π2
π 20 years of network community detection
πjournal: NATURE PHYSICS(I.F=19.684)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #years #community_detection
πjournal: NATURE PHYSICS(I.F=19.684)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #years #community_detection
π3
2023_A_survey_on_identification_of_influential_users_in_social_media.pdf
460.6 KB
π A survey on identification of influential users in social media networks using bio inspired algorithms
πjournal: Procedia Computer Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
πjournal: Procedia Computer Science
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
π3
2017-Python for Graph and Network Analysis.pdf
13 MB
πPython for Graph and Network Analysis
πPublish year: 2017
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Python #Graph
πPublish year: 2017
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Python #Graph
π3
π Link Prediction on Complex Networks: An Experimental Survey
πjournal: Data Science and Engineering (I.F=4.52)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Survey
πjournal: Data Science and Engineering (I.F=4.52)
πPublish year: 2022
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Survey
π2
πGraph-powered learning methods in the Internet of Things: A survey
πjournal: Machine Learning with Applications (I.F=3.203)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #IOT #Survey
πjournal: Machine Learning with Applications (I.F=3.203)
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #IOT #Survey
π3
From_Social_Networks_to_Time_Series_Methods_and_Applications_1.pdf
1 MB
πFrom Social Networks to Time Series: Methods and Applications
πAuthors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.
π publish year: 2017
π Study book
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network #Application
πAuthors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.
π publish year: 2017
π Study book
π²Channel: @ComplexNetworkAnalysis
#book #Social_Network #Application
π4
π Machine Learning with Graphs: Theory of Graph Neural Networks
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯The topics: How expensive are graph neural networks, designing the most powerful GNNs.
π½ Watch: part1 part2
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯The topics: How expensive are graph neural networks, designing the most powerful GNNs.
π½ Watch: part1 part2
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
YouTube
Stanford CS224W: ML with Graphs | 2021 | Lecture 9.1 - How Expressive are Graph Neural Networks
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3GwTmur
Jure Leskovec
Computer Science, PhD
In this lecture, we provide a theoretical framework to analyze the expressive powerβ¦
Jure Leskovec
Computer Science, PhD
In this lecture, we provide a theoretical framework to analyze the expressive powerβ¦
π1
π Precision medicine β networks to the rescue
πjournal: Current Opinion in Biotechnology (COBIOT) (I.F=10.279)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #iPrecision #medicine #networks #rescue
πjournal: Current Opinion in Biotechnology (COBIOT) (I.F=10.279)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #iPrecision #medicine #networks #rescue
π4
π Role-Aware Information Spread in Online Social Networks
πjournal: ENTROPY-SWITZ (I.F=2.738)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Role_Aware #Information #Spread #Online
πjournal: ENTROPY-SWITZ (I.F=2.738)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Role_Aware #Information #Spread #Online
π1