Network Analysis Resources & Updates
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πŸ“„Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

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Journal: IEEE ACCESS (I.F=3.476)
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Publish year: 2022

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Anomaly #Graph_Neural_Networks #Status #Challenges
πŸ“„Blockchain Data Analysis from the Perspective of Complex Networks: Overview

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Journal: Tsinghua Science and Technology (I.F=3.515)
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Publish year: 2022

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Blockchain #Perspective #Overview
πŸ“„A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges

πŸ—“Publish year: 2023

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Prompting #Techniques #Applications #Challenges #Survey
πŸ“„From social networks to knowledge graphs: A plea for interdisciplinary approaches

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Journal: Social Sciences and Humanities Open
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Publish year: 2022

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #plea #interdisciplinary #approaches
πŸ“„Complex networks analysis: centrality measures

πŸ“˜Journal: Indonesian Journal of Electrical Engineering and Computer Science (I.F=1.51)
πŸ—“ publish year: 2023

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #centrality
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πŸ“„A Survey on Knowledge Graph Embeddings for Link Prediction

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Journal: SYMMETRY-BASEL (I.F=2.94)
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Publish year: 2021

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #Embeddings #Link_Prediction #Survey
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πŸ“‘ Protein interaction networks: centrality, modularity, dynamics, and applications

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Journal: Frontiers of Computer Science (I.F.=2.669)
πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#review #ppi
πŸ‘4
πŸ“„Graph (Network - Nodes and edges)

πŸ’₯Technical paper

πŸ’₯ 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

πŸ“²Channel: @ComplexNetworkAnalysis

#paper #Graph #python #code
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πŸ“„Introduction and Graph Structure

πŸ’₯Technical paper

πŸ’₯ 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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πŸ“²Channel: @ComplexNetworkAnalysis

#paper #Graph
πŸ“‘ A Review of Relational Machine Learning for Knowledge Graphs

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Journal: Proceedings of the IEEE (I.F.=14.91)
πŸ—“Publish year: 2016

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #review #Machine_Learning #Knowledge_Graphs
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πŸ“„A Graph Theory Based Systematic Literature Network Analysis

πŸ“˜
Journal: Theoretical Economics Letters
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Publish year: 2018

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Systematic #Literature
2020_Network_Analysis_as_a_Computational_Technique_and_Its_Benefaction.pdf
1.4 MB
πŸ“„Network Analysis as a Computational Technique and Its Benefaction for Predictive Analysis of Healthcare Data: A Systematic Review

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Journal: Archives of Computational Methods in Engineering (I.F=8.171)
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Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Computational #Benefaction #Predictive #Healthcare #Systematic #Review
πŸ“‘ Knowledge Graphs

πŸ“˜
Journal: ACM Computing Surveys(I.F.=14.324)
πŸ—“Publish year: 2021

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
πŸ”₯2
2021_Graph_Signal_Processing,_Graph_Neural_Network_and_Graph_Learning.pdf
3.9 MB
πŸ“„Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review

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Journal: IEEE REVIEWS IN BIOMEDICAL ENGINEERING (I.F=7.073)
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Publish year: 2021

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph_Signal_Processing #Graph_Neural_Network #Graph_Learning #Biological #Review