Forwarded from Bioinformatics
πNetwork Modeling and Control of Dynamic Disease Pathways, Review and Perspectives
πJournal: IEEE/ACM Transactions on Computational Biology and Bioinformatics (I.F.=3.6)
πPublish year: 2024
π§βπ»Authors: Yen-Che Hsiao; Abhishek Dutta
π’University: University of Connecticut, USA
π Study the paper
π²Channel: @Bioinformatics
#review #pathway #network
πJournal: IEEE/ACM Transactions on Computational Biology and Bioinformatics (I.F.=3.6)
πPublish year: 2024
π§βπ»Authors: Yen-Che Hsiao; Abhishek Dutta
π’University: University of Connecticut, USA
π Study the paper
π²Channel: @Bioinformatics
#review #pathway #network
π3
πGetting started with graph analysis in Python with pandas and networkx
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Python #code
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Python #code
Medium
Getting started with graph analysis in Python with pandas and networkx
Graph analysis is not a new branch of data science, yet is not the usual βgo-toβ method data scientists apply today. However there are someβ¦
π6β€1π1
πA Comprehensive Survey on Automatic Knowledge Graph Construction
π Publish year: 2023
π§βπ»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU
π’Universities: Macquarie University, Beihang University, Hefei University of Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #knowledge_graph #Survey
π Publish year: 2023
π§βπ»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU
π’Universities: Macquarie University, Beihang University, Hefei University of Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #knowledge_graph #Survey
π3
πGraph Data Science and machine learning applications
πMaster Degree Thesis by Antonella Cardillo form POLITECNICO DI TORINO
πPublish year: 2024
π Study thesis
π²Channel: @ComplexNetworkAnalysis
#thesis #Graph #machine_learning #Data_Science
πMaster Degree Thesis by Antonella Cardillo form POLITECNICO DI TORINO
πPublish year: 2024
π Study thesis
π²Channel: @ComplexNetworkAnalysis
#thesis #Graph #machine_learning #Data_Science
π2π―1
πNetwork Analysis Visualization
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Python #code #Visualization
π₯Technical Paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Python #code #Visualization
Kaggle
Network Analysis Visualization
Explore and run machine learning code with Kaggle Notebooks | Using data from Village Relationships
π4
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
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