Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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📄The Use of Graph Theory for Modeling and Analyzing the Structure of a Complex System, with the Example of an Industrial Grain Drying Line

📘 journal: processes (I.F=3.352)
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Publish year: 2023

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #graph #Analysis #Industrial_Grain_Drying_Line
👍3
2023 -A comprehensive survey of personal knowledge graphs.pdf
2.2 MB
📄 A comprehensive survey of personal knowledge graphs

📘
journal: Data Mining and Knowledge Discovery (I.F=7.8)
🗓Publish year: 2023


📲Channel: @ComplexNetworkAnalysis
#paper #survey #knowledge_graphs
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📄Influence maximization in social networks: a survey of behaviour-aware methods

📘 journal: Social Network Analysis and Mining (SNAM) (I.F=2.8)
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Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Influence #maximization #behaviour_aware #survey
👍1
📄Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Privacy #Preserving #Graph_Machine_Learning #Computation #survey
👍3
📄 A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

🗓Publish year: 2023

📎
Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #survey #GNN #anomaly_detection #time_series
👍5
📄A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

📘 journal: ACM Computing Surveys (I.F=16.6)
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Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Counterfactual #Explanations #Evaluation #Challenges #survey
👍3
📄Machine Learning for Anomaly Detection: A Systematic Review

📘 journal: IEEE Acess (I.F=3.476)
🗓Publish year: 2021

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #graph #Anomaly_detection #review
🔥3
📄 Survey of Deep Graph Clustering: Taxonomy,Challenge, Application, and Open Resource

🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Clustering #Taxonomy #Challenge #Application #Open_Resource #survey
4👍1
📄Information cascades in complex networks

📘 journal: Journal of Complex Networks (I.F=1.492)
🗓Publish year: 2017

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #graph #cascades #review
👍5👏1
📄Spatial social network research: a bibliometric analysis

📘 journal: Computational Urban Science
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Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Spatial #research #bibliometric
2
📚Graph Theory Notes

🧑‍💼 author: Vadim Lozin in Institute of Mathematics University of Warwick

📎Study

📲Channel: @ComplexNetworkAnalysis
#Booklet #graph
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📄Complex systems and network science: a survey

📘 journal: Journal of Systems Engineering and Electronics (I.F=2.1)
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Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Complex_systems #network_science #survey
👍21👏1
📚 Knowledge Graphs

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale.

🧑‍💼 authors: Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M Rashid, Anisa Rula, Juan Sequeda, Lukas Schmelzeisen, Steffen Staab, Antoine Zimmerman
🗓Publish year: 2021

📎Study

📲Channel: @ComplexNetworkAnalysis
#Book #graph #Data_Graphs #Graph_Algorithms #Graph_Analytics #Graph_Neural_Networks #Knowledge_Graphs #Social_Networks
👍5
📄Wolfram MathWorld

💥Technical online booklet and workspace

🌐 Study

📲Channel: @ComplexNetworkAnalysis

#online_book #Graph #Graph_Theory
👍3
📄New Developments in Social Network Analysis

📘 journal: Annual Review of Organizational Psychology and Organizational Behavior (I.F=13.7)
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Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Developments
👍3
🎞 Community Detection in R in 2021 and Beyond, Part 1

💥2021 Social Networks Workshop

📽 Watch

📱Channel: @ComplexNetworkAnalysis

#video #Community_Detection #R
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2020_Graph_weeds_net_A_graph_based_deep_learning_method_for_weed.pdf
2.7 MB
📄Graph weeds net: A graph-based deep learning method for weed recognition

📘 journal: Computers and Electronics in Agriculture (I.F=6.757)
🗓Publish year: 2020

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #graph #deep_learnin #weed_recognition
👍32
2021-Graphnet Graph Clustering with Deep Neural Networks.pdf
2.3 MB
📄Graphnet: Graph Clustering with Deep Neural Networks

📘 Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
🗓Publish year: 2021

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Graphnet #Deep_Neural_Networks #Clustering
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