Anderson K, McOwan PW (2006) A real-time automated system for the recognition of human facial expressions. IEEE Trans Syst Man Cybern B Cybern 36(1):96–105. https://doi.org/10.1109/TSMCB.2005.854502

Article  PubMed  Google Scholar 

Ang J, Dhillon R, Krupski A, Shriberg E, Stolcke A (2002) Prosody-based automatic detection of annoyance and frustration in human–computer dialog. In: Proc. ICSLP vol. 3: pp. 2037–2040. https://doi.org/10.21437/ICSLP.2002-559

Aydin S (2020) Deep learning classification of neuro-emotional phase domain complexity levels induced by affective video film clips. IEEE J Biomed Health Inform 24(6):1695–1702. https://doi.org/10.1109/JBHI.2019.2959843

Article  PubMed  Google Scholar 

Aydın S, Demirtaş S, Tunga MA, Ateş K (2018) Comparison of hemispheric asymmetry measurements for emotional recordings from controls. Neural Comput Appl 30(4):1341–1351. https://doi.org/10.1007/s00521-017-3006-8

Article  Google Scholar 

Azizi H, Sulaimany S (2024) A review of visibility graph analysis. IEEE Access 12:93517–93530. https://doi.org/10.1109/ACCESS.2024.3401485

Article  Google Scholar 

Barrett LF (2012) Emotions are real. Emotion 12:413–429. https://doi.org/10.1037/a0027555

Article  PubMed  Google Scholar 

Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 10:P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008

Article  Google Scholar 

Cai Q, An J-P, Li H-Y, Guo J-Y, Gao Z-K (2022) Cross-subject emotion recognition using visibility graph and genetic algorithm-based convolution neural network. Chaos 32:093110. https://doi.org/10.1063/5.0098454

Article  PubMed  Google Scholar 

Calvo RA, D’Mello S (2010) Affect detection: an interdisciplinary review of models, methods, and their applications. IEEE Trans Affect Comput 1(1):18–37. https://doi.org/10.1109/T-AFFC.2010.1

Article  Google Scholar 

Cem E, Sarac K (2015) Estimating the size and average degree of online social networks at the extreme. In: 2015 IEEE International Conference on Communications (ICC), pp 1268–1273. IEEE. https://doi.org/10.1109/ICC.2015.7248497

Cem E, Sarac K (2016) Average degree estimation under ego-centric sampling design. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp 152–157. IEEE. https://doi.org/10.1109/INFCOMW.2016.7562063

Coleman TF, Moré JJ (1983) Estimation of sparse Jacobian matrices and graph coloring problems. SIAM J Numer Anal 20:187–209

Article  Google Scholar 

Cover TM, Thomas JA (1991) Elements of Information Theory. Wiley, New York

Google Scholar 

Dolan RJ (2002) Emotion, cognition and behavior. Science 298:1191–1194. https://doi.org/10.1126/science.1076358

Article  CAS  PubMed  Google Scholar 

Fang W, Tang Y-C, Zhang X (2025) Cross-dataset EEG emotion recognition based on pre-trained vision transformer considering emotional sensitivity diversity. Expert Syst Appl 279:127348. https://doi.org/10.1016/j.eswa.2025.127348

Article  Google Scholar 

Fox E (2008) Emotion science: cognitive and neuroscientific approaches to understanding human emotions. Palgrave Macmillan, New York. https://doi.org/10.1007/978-1-137-07946-6

Book  Google Scholar 

Gkintoni E, Aroutzidis A, Antonopoulou H, Halkiopoulos C (2025) From neural networks to emotional networks: a systematic review of EEG-based emotion recognition in cognitive neuroscience and real-world applications. Brain Sci 15(3):220. https://doi.org/10.3390/brainsci15030220

Article  PubMed  PubMed Central  Google Scholar 

Himmel A-S, Hoffmann C, Kunz P, Froese V, Sorge M (2018) Computational complexity aspects of point visibility graphs. Discrete Appl Math 254:283–290. https://doi.org/10.1016/j.dam.2018.06.016

Article  Google Scholar 

Jafari M, Shoeibi A, Khodatars M et al (2023) Emotion recognition in EEG signals using deep learning methods: a review. Comput Biol Med 165:107450. https://doi.org/10.1016/j.compbiomed.2023.107450

Article  PubMed  Google Scholar 

Jain R, Ganesan RA (2021) An efficient sleep scoring method using visibility graph and temporal features of single-channel EEG. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp 6306–6309. IEEE. https://doi.org/10.1109/EMBC46164.2021.9630863

Jennings HD, Ivanov PC, Martins ADM, da Silva PC, Viswanathan GM (2004) Variance fluctuations in nonstationary time series: a comparative study of music genres. Phys A 336(3):585–594. https://doi.org/10.1016/j.physa.2003.12.049

Article  Google Scholar 

Kamble K, Sengupta J (2023) A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals. Multimed Tools Appl 82:27269–27304. https://doi.org/10.1007/s11042-023-14489-9

Article  Google Scholar 

Kılıç B, Aydın S (2022) Classification of contrasting discrete emotional states indicated by EEG based graph theoretical network measures. Neuroinformatics 20:863–877. https://doi.org/10.1007/s12021-022-09579-2

Article  PubMed  Google Scholar 

Kong T, Shao J, Hu J, Yang X, Yang S, Malekian R (2021) EEG-based emotion recognition using an improved weighted horizontal visibility graph. Sensors Basel 21(5):1870. https://doi.org/10.3390/s21051870

Article  PubMed  PubMed Central  Google Scholar 

Lacasa L, Luque B, Ballesteros F, Luque J, Nuño JC (2008) From time series to complex networks: the visibility graph. Proc Natl Acad Sci U S A 105(13):4972–4975. https://doi.org/10.1073/pnas.0709247105

Article  PubMed  PubMed Central  Google Scholar 

Li G, Ouyang D, Yuan Y, Green P et al (2022) An EEG data processing approach for emotion recognition. IEEE Sens J 22(11):10751–10763. https://doi.org/10.1109/JSEN.2022.3168572

Article  Google Scholar 

Lin X, Chen J, Ma W, Tang W, Wang Y (2023) EEG emotion recognition using improved graph neural network with channel selection. Comput Methods Programs Biomed 231:107380. https://doi.org/10.1016/j.cmpb.2023.107380

Article  PubMed  Google Scholar 

Majdi H, Azarnoosh M, Ghoshuni M, Sabzevari VR (2022) Using visibility graph to analyze brain connectivity. Shefaye Khatam 10(2):57–67. https://doi.org/10.61186/shefa.10.2.57

Article  Google Scholar 

Melo DFP, Fadigas IS, Pereira HBB (2020) Graph-based feature extraction: a new proposal to study the classification of music signals outside the time-frequency domain. PLoS One 15(11):e0240915. https://doi.org/10.1371/journal.pone.0240915

Article  CAS  PubMed  PubMed Central  Google Scholar 

Modak S, Singha Roy S, Chatterjee S et al (2020) Detection of focal EEG signals employing weighted visibility graph. In: 2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE), pp 1–5. IEEE. https://doi.org/10.1109/ICCECE48148.2020.9223096

Mohammadpoory Z, Nasrolahzadeh M, Amiri SA (2024) Classification of healthy and epileptic seizure EEG signals based on different visibility graph algorithms and EEG time series. Multimed Tools Appl 83:2703–2724. https://doi.org/10.1007/s11042-023-15681-7

Article  Google Scholar 

Newman MEJ, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69(2):026113. https://doi.org/10.1103/PhysRevE.69.026113

Article  CAS  Google Scholar 

Niu W, Ma C, Sun X, Li M, Gao Z (2023) A brain network analysis-based double way deep neural network for emotion recognition. IEEE Trans Neural Syst Rehabil Eng 31:917–925. https://doi.org/10.1109/TNSRE.2023.3236434

Article  PubMed  Google Scholar 

Paranjape PN, Dhabu MM, Deshpande PS (2023) A novel weighted visibility graph approach for alcoholism detection through the analysis of EEG signals. In: Woungang I et al (eds) Advanced Network Technologies and Intelligent Computing. Communications in Computer and Information Science, vol 1798. Springer, Cham. https://doi.org/10.1007/978-3-031-28183-9_2.

Chapter  Google Scholar 

Prabowo DW, Nugroho HA, Setiawan NA, Debayle J (2023) A systematic literature review of emotion recognition using EEG signals. Cogn Syst Res 82:101152. https://doi.org/10.1016/j.cogsys.2023.101152

Article  Google Scholar 

Sudhamayee K, Krishna MG, Manimaran P (2023) Simplicial network analysis on EEG signals. Phys A Stat Mech Appl 630:129230. https://doi.org/10.1016/j.physa.2023.129230

Article  Google Scholar 

Wu M, Teng W, Fan C, Pei S, Li P, Lv Z (2023) An investigation of olfactory-enhanced video on EEG-based emotion recognition. IEEE Trans Neural Syst Rehabil Eng 31:1602–1613. https://doi.org/10.1109/TNSRE.2023.3253866

Article  PubMed  Google Scholar 

Xiong H, Shang P, Hou F, Ma Y (2019) Visibility graph analysis of temporal irreversibility in sleep electroencephalograms. Nonlinear Dyn 96(1):1–11. https://doi.org/10.1007/s11071-019-04768-2

Article  PubMed  PubMed Central  Google Scholar 

Yang X, Ren Y, Hong B, He A, Wang J, Wang Z (2023) Epileptic detection in single and multi-lead EEG signals using persistent homology based on bi-directional weighted visibility graphs. Chaos 33:063122. https://doi.org/10.1063/5.0140579

Article  PubMed