📑 Protein interaction networks: centrality, modularity, dynamics, and applications
📘Journal: Frontiers of Computer Science (I.F.=2.669)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#review #ppi
📘Journal: Frontiers of Computer Science (I.F.=2.669)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #ppi
👍4
📄Graph (Network - Nodes and edges)
💥Technical paper
💥 In this paper, the auther will cover: Graph (Network - Nodes and edges), About, Articles Related, Application, Type, Structure, Example, Map, Directed Graph, Dominating set, Grow Algorithm, Shrink Algorithm, Path, Definition, Cycle, Spanning, Forest, Analysis, Documentation / Reference
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #python #code
💥Technical paper
💥 In this paper, the auther will cover: Graph (Network - Nodes and edges), About, Articles Related, Application, Type, Structure, Example, Map, Directed Graph, Dominating set, Grow Algorithm, Shrink Algorithm, Path, Definition, Cycle, Spanning, Forest, Analysis, Documentation / Reference
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #python #code
Datacadamia - Data and Co
Graph (Network - Nodes and edges)
A graph is a set of vertices connected by edges. See Data representation that naturally captures complex relationships is a graph (or network). Except of the special graph that a tree is, the ...
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🎞 Course "Social Network Analysis" (Leonid Zhukov). Denoscriptive Network Analysis
💥Free recorded Tutorial by Professor Leonid Zhukov, School of Data Analysis and Artificial Intelligence
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Tutorial #social_networks
💥Free recorded Tutorial by Professor Leonid Zhukov, School of Data Analysis and Artificial Intelligence
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Tutorial #social_networks
YouTube
Course "Social Network Analysis" (Leonid Zhukov). Lecture 2. Denoscriptive Network Analysis
Course outline:
- Introduction to network science
- Denoscriptive network analysis
- Mathematical models of networks
- Node centrality and ranking on networks
- Network communities
- Network structure and visualization
- Social media and information flow in…
- Introduction to network science
- Denoscriptive network analysis
- Mathematical models of networks
- Node centrality and ranking on networks
- Network communities
- Network structure and visualization
- Social media and information flow in…
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📄Introduction and Graph Structure
💥Technical paper
💥 In this paper, the auther begin by motivating the study of graph representations of data, or networks. Networks form a general language for desribing complex systems of interacting entities. Pictorially, rather than thinking that our dataset consists of a set of isolated data points, we consider interactions and relationships between these points.
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph
💥Technical paper
💥 In this paper, the auther begin by motivating the study of graph representations of data, or networks. Networks form a general language for desribing complex systems of interacting entities. Pictorially, rather than thinking that our dataset consists of a set of isolated data points, we consider interactions and relationships between these points.
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph
snap-stanford.github.io
Introduction and Graph Structure
Lecture Notes for Stanford CS224W.
📑 A Review of Relational Machine Learning for Knowledge Graphs
📘Journal: Proceedings of the IEEE (I.F.=14.91)
🗓Publish year: 2016
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📲Channel: @ComplexNetworkAnalysis
#paper #review #Machine_Learning #Knowledge_Graphs
📘Journal: Proceedings of the IEEE (I.F.=14.91)
🗓Publish year: 2016
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📲Channel: @ComplexNetworkAnalysis
#paper #review #Machine_Learning #Knowledge_Graphs
👍5
🎞 Perform social network analysis in R Tutorial
💥Free recorded Tutorial by Professor Leonid Zhukov, School of Data Analysis and Artificial Intelligence
📽 Watch
💻 Data
📲Channel: @ComplexNetworkAnalysis
#video #Tutorial #social_networks #R #code
💥Free recorded Tutorial by Professor Leonid Zhukov, School of Data Analysis and Artificial Intelligence
📽 Watch
💻 Data
📲Channel: @ComplexNetworkAnalysis
#video #Tutorial #social_networks #R #code
YouTube
Perform social network analysis in R Tutorial
This tutorial outlines how to perform social network analysis in r. Social network analysis is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes and the ties…
📄A Graph Theory Based Systematic Literature Network Analysis
📘Journal: Theoretical Economics Letters
🗓Publish year: 2018
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Systematic #Literature
📘Journal: Theoretical Economics Letters
🗓Publish year: 2018
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Systematic #Literature
2020_Network_Analysis_as_a_Computational_Technique_and_Its_Benefaction.pdf
1.4 MB
📄Network Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review
📘Journal: Archives of Computational Methods in Engineering (I.F=8.171)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Computational #Benefaction #Predictive #Healthcare #Systematic #Review
📘Journal: Archives of Computational Methods in Engineering (I.F=8.171)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Computational #Benefaction #Predictive #Healthcare #Systematic #Review
📑 Knowledge Graphs
📘Journal: ACM Computing Surveys(I.F.=14.324)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
📘Journal: ACM Computing Surveys(I.F.=14.324)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
🔥2
2021_Graph_Signal_Processing,_Graph_Neural_Network_and_Graph_Learning.pdf
3.9 MB
📄Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review
📘Journal: IEEE REVIEWS IN BIOMEDICAL ENGINEERING (I.F=7.073)
🗓Publish year: 2021
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Signal_Processing #Graph_Neural_Network #Graph_Learning #Biological #Review
📘Journal: IEEE REVIEWS IN BIOMEDICAL ENGINEERING (I.F=7.073)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Signal_Processing #Graph_Neural_Network #Graph_Learning #Biological #Review
📄Community Detection Algorithms in Healthcare Applications: A Systematic Review
📘Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2023
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📱Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #Review
📘Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Community_Detection #Healthcare #Applications #Review
🔥2
2019-A review Knowledge reasoning over knowledge graph.pdf
2.2 MB
📑 A review: Knowledge reasoning over knowledge graph
📘Journal: ACM Computing Surveys(I.F.=8.665)
🗓Publish year: 2019
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📲Channel: @ComplexNetworkAnalysis
#paper #review #Knowledge_Graphs
📘Journal: ACM Computing Surveys(I.F.=8.665)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #review #Knowledge_Graphs
👍2
📑 Structure and dynamics of core/periphery networks
📘Journal: Journal of Complex Networks(I.F.=1.984)
🗓Publish year: 2013
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📲Channel: @ComplexNetworkAnalysis
#paper #review #periphery_networks
📘Journal: Journal of Complex Networks(I.F.=1.984)
🗓Publish year: 2013
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #review #periphery_networks
🔥2👍1
📑 Exploring network structure, dynamics, and function using networkx
📘Conference: conference: Exploring network structure, dynamics, and function using NetworkX
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📲Channel: @ComplexNetworkAnalysis
#paper #networkx
📘Conference: conference: Exploring network structure, dynamics, and function using NetworkX
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #networkx
👍2
2020_Fraud_detection_A_systematic_literature_review_of_graph_based.pdf
1.4 MB
📄Fraud detection: A systematic literature review of graph-based anomaly detection approaches
📘Journal: Decision Support Systems (I.F=6.969)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Fraud #Detection #Review #graph_based #anomaly
📘Journal: Decision Support Systems (I.F=6.969)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Fraud #Detection #Review #graph_based #anomaly
📄Knowledge Graphs: Opportunities and Challenges
📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2023
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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Opportunities #Challenges
📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2023
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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Opportunities #Challenges
👍3
📄Counterfactual Learning on Graphs: A Survey
🗓Publish year: 2023
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📱Channel: @ComplexNetworkAnalysis
#paper #Counterfactual_Learning #Graphs #Survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Counterfactual_Learning #Graphs #Survey
🎞 Overview of Complex Networks
💥Free recorded Tutorial on overview of complex networks
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📱Channel: @ComplexNetworkAnalysis
#video #Tutorial #Overview
💥Free recorded Tutorial on overview of complex networks
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Tutorial #Overview
YouTube
Overview of Complex Networks
Episode 10, Principles of Complex Systems, Spring 2013, University of Vermont.
Overview of Complex Networks.
Overview of Complex Networks.
👍3
🎓A comparison of visualisation techniques for complex networks
📘Master’s Thesis in Computer Science Royal Institute of Technology
🗓Publish year: 2016
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #comparison #visualisation #techniques
📘Master’s Thesis in Computer Science Royal Institute of Technology
🗓Publish year: 2016
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #comparison #visualisation #techniques
🎞 Machine Learning with Graphs: Theory of Graph Neural Networks
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
📽 Watch: part1 part2 part3
📝Slides
💻code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
📽 Watch: part1 part2 part3
📝Slides
💻code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.1 - A general Perspective on GNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BjIqNd
Lecture 7.1 - A General Perspective on Graph Neural Networks
Jure Leskovec
Computer Science, PhD
In this lecture, we introduce…
Lecture 7.1 - A General Perspective on Graph Neural Networks
Jure Leskovec
Computer Science, PhD
In this lecture, we introduce…
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