2023_A_Comprehensive_Survey_on_Learning_Based_Methods_for_Link_Prediction.pdf
509.7 KB
📄A Comprehensive Survey on Learning Based Methods for Link Prediction Problem
📘Conference : International Conference on Information Systems and Computer Networks (ISCON)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
📘Conference : International Conference on Information Systems and Computer Networks (ISCON)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Learning #Link_Prediction #Problem #survey
👍2
Application Areas of Community Detection A Review.pdf
202.1 KB
📑 Application Areas of Community Detection: A Review
📘Congress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
📘Congress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review
👍3
📄Big data analytics meets social media: A systematic review of techniques, open issues, and future directions
📘Conference : Telematics and Informatics (Elsevier)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
📘Conference : Telematics and Informatics (Elsevier)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Big_data #techniques #open_issues #future #directions #review
👍4
A review of clique-based overlapping community detection.pdf
1.3 MB
📑 A review of clique-based overlapping community detection algorithms
📘Journal: Knowledge and Information Systems(I.F=2.531)
🗓Publish year: 2022
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📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
📘Journal: Knowledge and Information Systems(I.F=2.531)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Review #clique
👏5
🎞 2022 Keynote: Deep learning with Knowledge Graphs
💥Free recorded Tutorial on Deep learning with Knowledge Graphs
💥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
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
💥Free recorded Tutorial on Deep learning with Knowledge Graphs
💥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
📽 Watch
📱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 frameworks…
He also presents the industrial applications, software frameworks…
👍2
Understanding Ethereum via Graph Analysis.pdf
1.6 MB
📑 Understanding Ethereum via Graph Analysis
📘Conference: IEEE Conference on Computer Communications
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Ethereum #Graph
📘Conference: IEEE Conference on Computer Communications
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Ethereum #Graph
👍2
📄Representation Learning on Graphs: Methods and Applications
🗓Publish year: 2017
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📱Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
🗓Publish year: 2017
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning #Methods #Applications
👍2🔥1
📄From past to present: Spam detection and identifying opinion leaders in social networks
📘Journal : SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES
🗓Publish year: 2022
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📱Channel: @ComplexNetworkAnalysis
#paper #past #present #Spam_detection #identifying #opinion #leaders
📘Journal : SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #past #present #Spam_detection #identifying #opinion #leaders
👍3👏1
2022_A_Review_on_Opinion_Leader_Detection_and_its_Applications.pdf
630.7 KB
📄A Review on Opinion Leader Detection and its Applications
📘Conference: International Conference on Communication and Electronics Systems (ICCES)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
📘Conference: International Conference on Communication and Electronics Systems (ICCES)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Opinion #Leader #paper #Detection #Applications #Review
👍2
📄 20 years of network community detection
📘journal: NATURE PHYSICS(I.F=19.684)
🗓Publish year: 2022
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📱Channel: @ComplexNetworkAnalysis
#paper #years #community_detection
📘journal: NATURE PHYSICS(I.F=19.684)
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #years #community_detection
👍3
2023_A_survey_on_identification_of_influential_users_in_social_media.pdf
460.6 KB
📄 A survey on identification of influential users in social media networks using bio inspired algorithms
📘journal: Procedia Computer Science
🗓Publish year: 2023
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📱Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
📘journal: Procedia Computer Science
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #identification #influential #users #bio #inspired #algorithms
👍3
2017-Python for Graph and Network Analysis.pdf
13 MB
📕Python for Graph and Network Analysis
🗓Publish year: 2017
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Python #Graph
🗓Publish year: 2017
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Python #Graph
👏3
📑 Link Prediction on Complex Networks: An Experimental Survey
📘journal: Data Science and Engineering (I.F=4.52)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Survey
📘journal: Data Science and Engineering (I.F=4.52)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Survey
👍2
📑Graph-powered learning methods in the Internet of Things: A survey
📘journal: Machine Learning with Applications (I.F=3.203)
🗓Publish year: 2023
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📲Channel: @ComplexNetworkAnalysis
#paper #IOT #Survey
📘journal: Machine Learning with Applications (I.F=3.203)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #IOT #Survey
👍3
From_Social_Networks_to_Time_Series_Methods_and_Applications_1.pdf
1 MB
📕From Social Networks to Time Series: Methods and Applications
📝Authors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.
🗓 publish year: 2017
📖 Study book
📲Channel: @ComplexNetworkAnalysis
#book #Social_Network #Application
📝Authors: Tongfeng Weng, Yaofeng Zhang, Pan Hui.
🗓 publish year: 2017
📖 Study book
📲Channel: @ComplexNetworkAnalysis
#book #Social_Network #Application
👍4
🎞 Machine Learning with Graphs: Theory of Graph Neural Networks
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: How expensive are graph neural networks, designing the most powerful GNNs.
📽 Watch: part1 part2
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #GNN
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: How expensive are graph neural networks, designing the most powerful GNNs.
📽 Watch: part1 part2
📲Channel: @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 Stanford’s 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 power…
Jure Leskovec
Computer Science, PhD
In this lecture, we provide a theoretical framework to analyze the expressive power…
👍1
📄 Precision medicine — networks to the rescue
📘journal: Current Opinion in Biotechnology (COBIOT) (I.F=10.279)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #iPrecision #medicine #networks #rescue
📘journal: Current Opinion in Biotechnology (COBIOT) (I.F=10.279)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #iPrecision #medicine #networks #rescue
👍4
📄 Role-Aware Information Spread in Online Social Networks
📘journal: ENTROPY-SWITZ (I.F=2.738)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Role_Aware #Information #Spread #Online
📘journal: ENTROPY-SWITZ (I.F=2.738)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Role_Aware #Information #Spread #Online
👍1
📑A Review of Graph and Network Complexity from an Algorithmic Information Perspective
📘journal: Entropy (I.F=2.738)
🗓Publish year: 2018
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Review
📘journal: Entropy (I.F=2.738)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Review
👍5👏1
📄 A survey of community detection methods in multilayer networks
📘journal: Data Mining and Knowledge Discovery (I.F=5.406)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #methods #multilayer #survey
📘journal: Data Mining and Knowledge Discovery (I.F=5.406)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #methods #multilayer #survey
👍1