π Social Networks and Health 2024
π₯Free recorded tutorial on social network
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Health
π₯Free recorded tutorial on social network
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Health
YouTube
Social Networks and Health 2024 -- Day 3
π4
πA Survey on Graph Neural Networks for Intrusion Detection Systems: Methods, Trends and Challenges
π Publish year: 2024
πJournal: Computers & Security (I.F=4.8)
π§βπ»Authors: Meihui Zhong, Mingwei Lin, Chao Zhang, Zeshui Xu
π’Universities: Fujian Normal University, Fuzhou, 350117, Fujian, China.
Shanxi University, Taiyuan, 030006, Shanxi, China.
Sichuan University, Chengdu, 610064, Sichuan, China.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Intrusion_Detection_Systems #Trends #Challenges #survey
π Publish year: 2024
πJournal: Computers & Security (I.F=4.8)
π§βπ»Authors: Meihui Zhong, Mingwei Lin, Chao Zhang, Zeshui Xu
π’Universities: Fujian Normal University, Fuzhou, 350117, Fujian, China.
Shanxi University, Taiyuan, 030006, Shanxi, China.
Sichuan University, Chengdu, 610064, Sichuan, China.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Intrusion_Detection_Systems #Trends #Challenges #survey
π3
πA Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches
π Publish year: 2024
π§βπ»Authors: Bin Wu, Sifu Luo and C. Steve Suh
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review
π Publish year: 2024
π§βπ»Authors: Bin Wu, Sifu Luo and C. Steve Suh
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review
π₯2
πUnderstanding Graph Databases: A Comprehensive Tutorial and Survey
π Publish year: 2024
π§βπ»Authors: Sydney Anuyah, Emmanuel Bolade, Oluwatosin Agbaakin
π’Universities: Indiana University, Indianapolis, IN, USA
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Database #Tutorial #survey
π Publish year: 2024
π§βπ»Authors: Sydney Anuyah, Emmanuel Bolade, Oluwatosin Agbaakin
π’Universities: Indiana University, Indianapolis, IN, USA
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Database #Tutorial #survey
π1
πGraph visualization: an in-depth guide
π₯Technical paper from Cambridge Intelligence
π Study
π²Channel: @ComplexNetworkAnalysis
#visualization
π₯Technical paper from Cambridge Intelligence
π Study
π²Channel: @ComplexNetworkAnalysis
#visualization
πHow Graph Neural Networks Facilitate Social Network Analysis
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN
Uniathena
How Graph Neural Networks Facilitate Social Network Analysis | Uniathena
Ever logged into Facebook to see a friend recommendation, and vaguely recognise the name β it's your old friend from school! You haven't talked to them in ages, but here they are, popping up on your feed. How is it possible?This is thanks to a powerful technologyβ¦
πNetwork analysis and teaching excellence as a concept of relations
π Publish year: 2024
πJournal: Teaching in Higher Education (I.F=2.4)
π§βπ»Authors: Aneta Hayes, Nick Garnett
π’Universities: Keele University, Keele, UK.
Nottingham Trent University, Nottingham, UK.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #teaching #excellence #relations
π Publish year: 2024
πJournal: Teaching in Higher Education (I.F=2.4)
π§βπ»Authors: Aneta Hayes, Nick Garnett
π’Universities: Keele University, Keele, UK.
Nottingham Trent University, Nottingham, UK.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #teaching #excellence #relations
πResearch on Topological Characteristics of Spatial Network Based on Complex Network Theory and Its Applications
π Publish year: 2024
πJournal: Mathematics (I.F=2.3)
π§βπ»Authors: Siqin Su, Jintao Liu,Yongqi Wang, ...
π’Universities: Civil Aviation University of China, China
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #spatial
π Publish year: 2024
πJournal: Mathematics (I.F=2.3)
π§βπ»Authors: Siqin Su, Jintao Liu,Yongqi Wang, ...
π’Universities: Civil Aviation University of China, China
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #spatial
π1
A survey of data efficient graph learning .pdf
225.1 KB
πA survey of data efficient graph learning
π Publish year: 2024
π§βπ»Authors: Wei Ju, Siyu Yi , Yifan Wang , Qingqing Long , Junyu Luo , Zhiping Xiao , Ming Zhang
π’Universities: Peking University, Nankai University,University of California Los Angeles
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #data #Survey
π Publish year: 2024
π§βπ»Authors: Wei Ju, Siyu Yi , Yifan Wang , Qingqing Long , Junyu Luo , Zhiping Xiao , Ming Zhang
π’Universities: Peking University, Nankai University,University of California Los Angeles
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #data #Survey
πGraph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications
π Publish year: 2024
πJournal: Information (I.F=2.4)
π§βπ»Authors: Annielle Mendes Brito da Silva, Natiele Carla da Silva Ferreira, Luiza Amara Maciel Braga, Fabio Batista Mota, Victor Maricato, Luiz Anastacio Alves
π’Universities: Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Pontifical Catholic University of Rio de Janeiro, Karolinska Institutet
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Mapping #Landscape #Applications
π Publish year: 2024
πJournal: Information (I.F=2.4)
π§βπ»Authors: Annielle Mendes Brito da Silva, Natiele Carla da Silva Ferreira, Luiza Amara Maciel Braga, Fabio Batista Mota, Victor Maricato, Luiz Anastacio Alves
π’Universities: Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Pontifical Catholic University of Rio de Janeiro, Karolinska Institutet
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Mapping #Landscape #Applications
β€1
πΉExploring Instagramβs Top 100 Influencers with Gephi: Social Network Analysis & Community Mapping
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #gephi #instagram
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #gephi #instagram
YouTube
Exploring Instagramβs Top 100 Influencers with Gephi: Social Network Analysis & Community Mapping
In this video, I demonstrate how to analyze and visualize social network data from Instagram's top 100 accounts using Gephi. We walk through the process of collecting follow data, formatting it for visualization, and identifying communities within the network.β¦
Self-Supervised Temporal Graph Learning ο»Ώ.pdf
928 KB
πSelf-Supervised Temporal Graph Learning with Temporal and Structural Intensity Alignment
π Publish year: 2024
π§βπ»Authors: Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang ZhouΨ Xinbiao Gan, Xinwang Liu
π’Universities: National University of Defense Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #SelfSupervised
π Publish year: 2024
π§βπ»Authors: Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang ZhouΨ Xinbiao Gan, Xinwang Liu
π’Universities: National University of Defense Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #SelfSupervised
β€2
π An Introduction to Graph Neural Networks: Models and Applications
π₯Free Recorded Lecture on Applications of Graph Neural Networks.
πΉGraph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encoding the information of individual elements as nodes and their relationships as edges β GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Application
π₯Free Recorded Lecture on Applications of Graph Neural Networks.
πΉGraph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encoding the information of individual elements as nodes and their relationships as edges β GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Application
YouTube
An Introduction to Graph Neural Networks: Models and Applications
MSR Cambridge, AI Residency Advanced Lecture Series
An Introduction to Graph Neural Networks: Models and Applications
Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encodingβ¦
An Introduction to Graph Neural Networks: Models and Applications
Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encodingβ¦
π1
π3D Clustering with Graph Theory: The Complete Guide with Python
π₯ Technical paper
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#clustering #python
π₯ Technical paper
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#clustering #python
Towards Data Science
Your home for data science and AI. The worldβs leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
π Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
π₯Temporal Graph Learning Reading Group
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Temporal #Challenges #Opportunities
π₯Temporal Graph Learning Reading Group
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Temporal #Challenges #Opportunities
YouTube
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
Temporal Graph Learning Reading Group
Paper: "Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities"
Speaker: Veronica Lachi
Date: Feb. 29, 2024
Paper: "Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities"
Speaker: Veronica Lachi
Date: Feb. 29, 2024
πEnsemble approaches for Link Prediction
πMSc thesis from The University in Stuttgart, Germany
πPublish year: 2024
π Study thesis
β‘οΈChannel: @ComplexNetworkAnalysis
#thesis #link_prediction
πMSc thesis from The University in Stuttgart, Germany
πPublish year: 2024
π Study thesis
β‘οΈChannel: @ComplexNetworkAnalysis
#thesis #link_prediction
π1
Machine Learning for Refining Knowledge Graph.pdf
2.4 MB
πMachine Learning for Refining Knowledge Graphs: A Survey
π Publish year: 2024
π§βπ»Authors: BUDHITAMA SUBAGDJA, D. SHANTHOSHIGAA, ZHAOXIA WANG, and AH-HWEE TAN
π’Universities: Singapore Management University
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #ML #Survey
π Publish year: 2024
π§βπ»Authors: BUDHITAMA SUBAGDJA, D. SHANTHOSHIGAA, ZHAOXIA WANG, and AH-HWEE TAN
π’Universities: Singapore Management University
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #ML #Survey
π2
πCurrent and future directions in network biology
π Publish year: 2023
πJournal: Bioinformatics Advances (I.F=2.4)
π§βπ»Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction
π Publish year: 2023
πJournal: Bioinformatics Advances (I.F=2.4)
π§βπ»Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction
π2π₯1
πSelf-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
π Publish year: 2024
π§βπ»Authors: Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, ...
π’Universities: Prince Sultan University, Saudi Arabia - University of Manouba, Manouba , Tunisia
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #self_supervised #gnn
π Publish year: 2024
π§βπ»Authors: Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, ...
π’Universities: Prince Sultan University, Saudi Arabia - University of Manouba, Manouba , Tunisia
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #self_supervised #gnn
πIntroducing New Node Prediction in Graph Mining:
Predicting All Links from Isolated Nodes with Graph
Neural Networks
π Publish year: 2024
π§βπ»Authors: Damiano Zanardinia, Emilio Serrano
π’Universities: Departamento de Inteligencia Artificial, ETSI InformΒ΄aticos, Universidad PolitΒ΄ecnica de Madrid, 28660 Boadilla del Monte, Madrid, Spain
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Node #prediction #Isolated
Predicting All Links from Isolated Nodes with Graph
Neural Networks
π Publish year: 2024
π§βπ»Authors: Damiano Zanardinia, Emilio Serrano
π’Universities: Departamento de Inteligencia Artificial, ETSI InformΒ΄aticos, Universidad PolitΒ΄ecnica de Madrid, 28660 Boadilla del Monte, Madrid, Spain
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Node #prediction #Isolated