📄Complex network approaches to nonlinear time series analysis

📘Journal: Physics Reports (I.F=25.6)

🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #time_series

📄Time Series Forecasting Based on Complex Network Analysis

📘Journal: IEEE Access (I.F=3.476)

🗓Publish year: 2019

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series

🎓A study of visibility graphs for time series representations

📘Bachelor’s Degree Project, from Polytechnic University of Catalonia Faculty of Informatics of Barcelona, Carlos Bergillos Varela

🗓Publish year: 2020

📎Study Thesis

📲Channel: @ComplexNetworkAnalysis

#visibility_graph #time_series

📄Complex network approaches to nonlinear time series analysis

📘Journal: Physics Reports (I.F=29.61)
🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #time_series

📄Tensor decomposition for analysing time-evolving social networks: an overview

📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2020

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Tensor #time_evolving #overview

📄Time Series Forecasting Based on Complex Network Analysis

📘Journal: IEEE Access (I.F= 4.809)
🗓Publish year: 2019

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Forecasting #Time_Series

📄Complex network analysis of time series

📘Journal: EPL (I.F= 1.947)
🗓Publish year: 2016

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Time_Series

📄Graph-based Time-Series Anomaly Detection: A Survey

🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series #Anomaly #survey

📄Network Analysis of Time Series: Novel Approaches to Network Neuroscience

📘journal :Frontiers in Neuroscience (I.F= 4.3)
🗓Publish year: 2022

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Time_Series #Neuroscience

📄 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

📄A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Time_Series #Forecasting #Classification #Imputation #Anomaly_Detection #survey

🎓 Visibility Graph Networks for Time Series Forecasting

📘Thesis for the degree of Doctor of Philosophy
🗓Publish year: 2024

🧑‍💻Author: Shengzhong Mao
🏢University: University of Manchester

📎Study Thesis

📱Channel: @ComplexNetworkAnalysis
#Thesis #Visibility_Graph #Time_Series #Forecasting

📃From time-series transcriptomics to gene regulatory networks: A review on inference methods

🗓 Publish year: 2023
📘Journal: PLOS Computational Biology

🧑‍💻Authors: Malvina Marku ,Vera Pancaldi
🏢Universities: University of Toulouse III-Paul Sabatier, France

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #time_series #transcriptomics #gene #inference #review

📄 Graph Anomaly Detection in Time Series: A Survey

📗 Journal: IEEE Access (I.F.=3.4)
🗓 Publish year: 2025

🧑‍💻Authors: Thi Kieu Khanh Ho; Ali Karami; Narges Armanfard
🏢University: McGill University, Canada

📎 Study the paper

⚡️Channel: @ComplexNetworkAnalysis
#review #time_series #anomaly

📃A network-based analysis anticipates time to recovery from major depression revealing a plasticity by context interplay

🗓 Publish year: 2025
📘Journal: translational psychiatry (I.F=6.2)

🧑‍💻Authors: Claudia Delli Colli, Aurelia Viglione, Silvia Poggini, Francesca Cirulli, Flavia Chiarotti, Alessandro Giuliani & Igor Branchi

🏢University: Sapienza University of Rome, Rome, Ital

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Depression #Time #plasticity #context_interplay #Review