On the public citation graph

Variational Instance-Adaptive Graph for EEG Emotion Recognition

https://doi.org/10.1109/taffc.2021.3064940

0 signed · 215 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-04239-4_39openalex-snapshot

Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition

inferredcites →https://doi.org/10.1007/978-3-030-36808-1_75openalex-snapshot

Sparse Graphic Attention LSTM for EEG Emotion Recognition

inferredcites →https://doi.org/10.1007/978-3-319-46681-1_21openalex-snapshot

A Novel Graph Regularized Sparse Linear Discriminant Analysis Model for EEG Emotion Recognition

inferredcites →https://doi.org/10.1007/978-3-642-15184-2_9openalex-snapshot

Physiological Signals and Their Use in Augmenting Emotion Recognition for Human–Machine Interaction

inferredcites →https://doi.org/10.1016/0013-4694(70)90143-4openalex-snapshot

EEG analysis based on time domain properties

inferredcites →https://doi.org/10.1016/j.bbr.2011.04.025openalex-snapshot

The structural and functional connectivity of the amygdala: From normal emotion to pathological anxiety

inferredcites →https://doi.org/10.1016/j.biopsych.2014.09.002openalex-snapshot

Emotion-Dependent Functional Connectivity of the Default Mode Network in Adolescent Depression

inferredcites →https://doi.org/10.1016/j.biopsycho.2004.03.008openalex-snapshot

What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research

inferredcites →https://doi.org/10.1016/j.neucom.2017.08.043openalex-snapshot

Facial expression recognition via learning deep sparse autoencoders

inferredcites →https://doi.org/10.1016/j.neucom.2018.05.005openalex-snapshot

Speech emotion recognition based on an improved brain emotion learning model

inferredcites →https://doi.org/10.1016/j.neuroimage.2008.03.059openalex-snapshot

Functional grouping and cortical–subcortical interactions in emotion: A meta-analysis of neuroimaging studies

inferredcites →https://doi.org/10.1016/j.tics.2016.03.011openalex-snapshot

Decoding the Nature of Emotion in the Brain

inferredcites →https://doi.org/10.1016/s0959-4388(99)80032-4openalex-snapshot

Regional brain function, emotion and disorders of emotion

inferredcites →https://doi.org/10.1021/acscentsci.7b00572openalex-snapshot

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

inferredcites →https://doi.org/10.1023/a:1018628609742openalex-snapshot

Least Squares Support Vector Machine Classifiers

inferredcites →https://doi.org/10.1023/a:1020281327116openalex-snapshot

An Introduction to MCMC for Machine Learning

inferredcites →https://doi.org/10.1039/9781788016841-00228openalex-snapshot

Chapter 11. Junction Tree Variational Autoencoder for Molecular Graph Generation

inferredcites →https://doi.org/10.1080/01621459.2017.1285773openalex-snapshot

Variational Inference: A Review for Statisticians

inferredcites →https://doi.org/10.1109/access.2019.2891579openalex-snapshot

MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition

inferredcites →https://doi.org/10.1109/bibm47256.2019.8983341openalex-snapshot

Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.683openalex-snapshot

Residual Attention Network for Image Classification

inferredcites →https://doi.org/10.1109/cvpr.2019.00289openalex-snapshot

Variational Convolutional Neural Network Pruning

inferredcites →https://doi.org/10.1109/cvpr.2019.01230openalex-snapshot

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/fg.2017.117openalex-snapshot

Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment

inferredcites →https://doi.org/10.1109/icbbe.2008.670openalex-snapshot

Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network

inferredcites →https://doi.org/10.1109/iembs.2009.5334139openalex-snapshot

Emotion classification based on gamma-band EEG

inferredcites →https://doi.org/10.1109/jbhi.2017.2688239openalex-snapshot

DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices

inferredcites →https://doi.org/10.1109/ner.2013.6695876openalex-snapshot

Differential entropy feature for EEG-based emotion classification

inferredcites →https://doi.org/10.1109/t-affc.2011.28openalex-snapshot

ECG Pattern Analysis for Emotion Detection

inferredcites →https://doi.org/10.1109/t-affc.2013.6openalex-snapshot

EEG-Based Classification of Music Appraisal Responses Using Time-Frequency Analysis and Familiarity Ratings

inferredcites →https://doi.org/10.1109/taffc.2018.2817622openalex-snapshot

EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/taffc.2018.2885474openalex-snapshot

A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition

inferredcites →https://doi.org/10.1109/taffc.2019.2922912openalex-snapshot

From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

inferredcites →https://doi.org/10.1109/taffc.2019.2937768openalex-snapshot

GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition

inferredcites →https://doi.org/10.1109/taffc.2020.2994159openalex-snapshot

EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

inferredcites →https://doi.org/10.1109/tamd.2015.2431497openalex-snapshot

Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

inferredcites →https://doi.org/10.1109/tbme.2010.2048568openalex-snapshot

EEG-Based Emotion Recognition in Music Listening

inferredcites →https://doi.org/10.1109/tbme.2014.2347318openalex-snapshot

Novel Active Comb-Shaped Dry Electrode for EEG Measurement in Hairy Site

inferredcites →https://doi.org/10.1109/tcds.2016.2587290openalex-snapshot

Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis

inferredcites →https://doi.org/10.1109/tcds.2020.2999337openalex-snapshot

A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition

inferredcites →https://doi.org/10.1109/tcyb.2017.2788081openalex-snapshot

Spatial–Temporal Recurrent Neural Network for Emotion Recognition

inferredcites →https://doi.org/10.1109/tip.2017.2726010openalex-snapshot

Local Directional Ternary Pattern for Facial Expression Recognition

inferredcites →https://doi.org/10.1109/tip.2018.2886767openalex-snapshot

Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

inferredcites →https://doi.org/10.1109/tip.2018.2886788openalex-snapshot

Spectral Filter Tracking

inferredcites →https://doi.org/10.1109/titb.2009.2034649openalex-snapshot

Emotion Recognition From EEG Using Higher Order Crossings

inferredcites →https://doi.org/10.1109/titb.2010.2041553openalex-snapshot

Toward Emotion Aware Computing: An Integrated Approach Using Multichannel Neurophysiological Recordings and Affective Visual Stimuli

inferredcites →https://doi.org/10.1109/tkde.2014.2373376openalex-snapshot

Domain Invariant Transfer Kernel Learning

inferredcites →https://doi.org/10.1109/tmm.2019.2924576openalex-snapshot

STAT: Spatial-Temporal Attention Mechanism for Video Captioning

inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot

Domain Adaptation via Transfer Component Analysis

inferredcites →https://doi.org/10.1109/tnsre.2011.2174652openalex-snapshot

Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces

inferredcites →https://doi.org/10.1109/tsp.2014.2321121openalex-snapshot

Discrete Signal Processing on Graphs: Frequency Analysis

inferredcites →https://doi.org/10.1145/1242572.1242668openalex-snapshot

Ontology summarization based on rdf sentence graph

inferredcites →https://doi.org/10.1145/2647868.2654916openalex-snapshot

We are not All Equal

inferredcites →https://doi.org/10.1145/3343031.3350871openalex-snapshot

Emotion Recognition using Multimodal Residual LSTM Network

inferredcites →https://doi.org/10.11591/ijece.v9i2.pp1012-1020openalex-snapshot

Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier

inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

inferredcites →https://doi.org/10.1371/journal.pone.0095415openalex-snapshot

Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns

inferredcites →https://doi.org/10.14569/ijacsa.2017.081046openalex-snapshot

Emotion Recognition based on EEG using LSTM Recurrent Neural Network

inferredcites →https://doi.org/10.1587/transfun.e101.a.2003openalex-snapshot

A Novel Supervised Bimodal Emotion Recognition Approach Based on Facial Expression and Body Gesture

inferredcites →https://doi.org/10.1609/aaai.v34i03.5656openalex-snapshot

Instance-Adaptive Graph for EEG Emotion Recognition

inferredcites →https://doi.org/10.1609/aaai.v34i03.5657openalex-snapshot

Variational Pathway Reasoning for EEG Emotion Recognition

inferredcites →https://doi.org/10.18653/v1/d16-1173openalex-snapshot

Deep Neural Networks with Massive Learned Knowledge

inferredcites →https://doi.org/10.21437/icslp.2002-559openalex-snapshot

Prosody-based automatic detection of annoyance and frustration in human-computer dialog

inferredcites →https://doi.org/10.21437/interspeech.2014-80openalex-snapshot

Long short-term memory recurrent neural network architectures for large scale acoustic modeling

inferredcites →https://doi.org/10.24963/ijcai.2018/216openalex-snapshot

A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition

inferredcites →https://doi.org/10.3389/fnbot.2017.00019openalex-snapshot

Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination

inferredcites →https://doi.org/10.3389/fnbot.2019.00037openalex-snapshot

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG

inferredcites →https://doi.org/10.3389/fnins.2018.00162openalex-snapshot

Exploring EEG Features in Cross-Subject Emotion Recognition

inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot

Auto-Encoding Variational Bayes

inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot

Domain-adversarial training of neural networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4657124openalex-extracted

inferred← citeshttps://doi.org/10.1002/widm.1563openalex-snapshot

Multimodal emotion recognition: A comprehensive review, trends, and challenges

inferred← citeshttps://doi.org/10.1007/978-3-032-05162-2_65openalex-snapshot

Various Attention Mechanism Graph Convolutional Network with Multi-source Domain Adaptation for Cross-Subject EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-92-3560-5_35openalex-snapshot

SPD-CSM: A Class Saliency Map for Interpreting SPDNet in EEG Decoding

inferred← citeshttps://doi.org/10.1007/978-981-92-3563-6_22openalex-snapshot

Joint Time-Frequency Encoding and Emotion-Embedded Graph Neural Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-95-5693-9_13openalex-snapshot

TRHCN: A Topology-Based Region Hierarchical Convolutional Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1007/978-981-96-7477-0_45openalex-snapshot

Emotion Identification Using Artificial Neural Networks from Speech and Songs

inferred← citeshttps://doi.org/10.1007/s00521-024-10821-yopenalex-snapshot

Deep learning-based EEG emotion recognition: a comprehensive review

inferred← citeshttps://doi.org/10.1007/s11517-025-03295-0openalex-snapshot

Graph convolution network-based eeg signal analysis: a review

inferred← citeshttps://doi.org/10.1007/s11571-023-10004-wopenalex-snapshot

EEG-based emotion recognition using a temporal-difference minimizing neural network

inferred← citeshttps://doi.org/10.1007/s11571-025-10372-5openalex-snapshot

Cross-modal alignment and fusion of EEG-visual based on mixed attention mechanism for emotion recognition

inferred← citeshttps://doi.org/10.1007/s11571-025-10396-xopenalex-snapshot

EEG emotion recognition based on hierarchical multi-scale graph neural networks

inferred← citeshttps://doi.org/10.1007/s11571-026-10453-zopenalex-snapshot

Classification of consciousness disorders based on graph convolution and attention mechanism

inferred← citeshttps://doi.org/10.1007/s12559-025-10516-zopenalex-snapshot

EEG-Based Emotion Classification Driven by Fuzzy Linguistic Summarization: A Study on SEED Dataset

inferred← citeshttps://doi.org/10.1007/s42452-025-07178-9openalex-snapshot

Review on music emotion analysis using machine learning: technologies, methods, datasets, and challenges

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105045openalex-snapshot

An adaptive driver fatigue classification framework using EEG and attention-based hybrid neural network with individual feature subsets

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106505openalex-snapshot

Novel fractal pattern based features for EEG-based emotion identification

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106716openalex-snapshot

A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108111openalex-snapshot

EEG-based emotion recognition: A deep learning approach to brain region analysis

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108628openalex-snapshot

A multi-feature fusion model with temporal convolution and vision transformer for epileptic seizure prediction

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109515openalex-snapshot

Multi-scale graph convolutional EEG emotion recognition method driven by dynamic channel state labels

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109740openalex-snapshot

DDMGCN: Deep Dynamic Multi-Graph Convolutional Neural Network for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110140openalex-snapshot

An interpretable deep learning model for EEG emotion recognition using the Rashomon effect

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.111581openalex-snapshot

Native relation learning for cross-dataset EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106950openalex-snapshot

A graph convolutional neural network for the automated detection of seizures in the neonatal EEG

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104867openalex-snapshot

PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107450openalex-snapshot

Emotion recognition in EEG signals using deep learning methods: A review

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107901openalex-snapshot

EEGProgress: A fast and lightweight progressive convolution architecture for EEG classification

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108857openalex-snapshot

Enhancing local representation learning through global–local integration with functional connectivity for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113250openalex-snapshot

A dual-stream regional feature learning and adaptive fusion method for electroencephalogram-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121915openalex-snapshot

A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133164openalex-snapshot

A neuroscience-based EEG emotion recognition framework with local brain region-guided global learning

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133767openalex-snapshot

Dense multi-scale graph token transformer for local-global graph representation learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109038openalex-snapshot

Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113938openalex-snapshot

UMDA-DDSTGN: An unsupervised meta-domain adaptation method using dynamic directed spatial-temporal graph network for EEG-based emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.115092openalex-snapshot

IDFG: Information-Regularized Diversity-Fidelity Graph for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116035openalex-snapshot

PSGCL: Pseudo-siamese supervised graph contrastive learning for enhancing prior knowledge guidance in EEG classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.10.018openalex-snapshot

Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126262openalex-snapshot

Progressive graph convolution network for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129073openalex-snapshot

Context-based emotion recognition: A survey

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130102openalex-snapshot

FCAnet: A novel feature fusion approach to EEG emotion recognition based on cross-attention networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131749openalex-snapshot

Dynamic sparse directed graph convolutional network with attention mechanisms for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131767openalex-snapshot

A multi-branch electroencephalogram emotion recognition framework based on cross-subject or cross-session multi-perspective representation fusion

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107363openalex-snapshot

Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109016openalex-snapshot

PDGCN: A progressive dual-branch graph convolution network for EEG emotion recognition

inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114703openalex-snapshot

Decoding topology-implicit EEG representations under manifold-Euclidean hybrid space

inferred← citeshttps://doi.org/10.1088/1741-2552/ad5fbdopenalex-snapshot

Unsupervised heterogeneous domain adaptation for EEG classification

inferred← citeshttps://doi.org/10.1108/aci-05-2021-0130openalex-snapshot

An overlapping sliding window and combined features based emotion recognition system for EEG signals

inferred← citeshttps://doi.org/10.1109/acait63902.2024.11022291openalex-snapshot

Hierarchical Dynamic Dependency Graph Convolutional Networks for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/bdai66031.2025.11325278openalex-snapshot

Emotion Recognition Method Based on Multi-Round Replay of Brain Graph and Semantic Graph

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356439openalex-snapshot

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356854openalex-snapshot

Geometry-Aware Graph Transformer for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00481openalex-snapshot

Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00620openalex-snapshot

Hybrid Message Passing with Performance-Driven Structures for Facial Action Unit Detection

inferred← citeshttps://doi.org/10.1109/iarce64300.2024.00074openalex-snapshot

An IoMT Based Epileptic Seizure Predictor Using Dual-Path Temporal-Spectral Encoded Spatial Dynamic Graph Convolution Network

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890349openalex-snapshot

Robust Supervised Graph Embedding Method For EEG-Based Brain Network Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460628openalex-snapshot

Multimodal Few-Channel EEG Emotion Recognition Based on Brain Asymmetry

inferred← citeshttps://doi.org/10.1109/icicec62498.2024.10808403openalex-snapshot

Advancements in EEG-Based Emotion and Consciousness Recognition: Techniques, Challenges, and Innovations

inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892411openalex-snapshot

Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227678openalex-snapshot

Modality-Independent Graph Convolutional Networks with Multi-Task and Hybrid cross-attention for Subject-Independent Emotion Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228596openalex-snapshot

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks

inferred← citeshttps://doi.org/10.1109/jas.2025.125393openalex-snapshot

Machine Learning-Based Prediction of Depressive Disorders via Various Data Modalities: A Survey

inferred← citeshttps://doi.org/10.1109/jbhi.2022.3198688openalex-snapshot

EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3415163openalex-snapshot

Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3416944openalex-snapshot

Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jbhi.2026.3673733openalex-snapshot

Sub-Band Embedding Based EEG Spatio-Temporal Activity Representation for Emotion Recognition

inferred← citeshttps://doi.org/10.1109/jtehm.2023.3320132openalex-snapshot

Fractal Spiking Neural Network Scheme for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/smc54092.2024.10832104openalex-snapshot

Dual-Domain Attention Based Adaptive Graph Convolutional Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343565openalex-snapshot

InfoGA: Enhancing Generalized EEG Emotion Recognition via Information-Aware Graph Augmentation

inferred← citeshttps://doi.org/10.1109/taffc.2021.3137857openalex-snapshot

Personal-Zscore: Eliminating Individual Difference for EEG-Based Cross-Subject Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2023.3288885openalex-snapshot

Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network

inferred← citeshttps://doi.org/10.1109/taffc.2024.3349770openalex-snapshot

Gusa: Graph-Based Unsupervised Subdomain Adaptation for Cross-Subject EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3371540openalex-snapshot

GDDN: Graph Domain Disentanglement Network for Generalizable EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3392791openalex-snapshot

CiABL: Completeness-Induced Adaptative Broad Learning for Cross-Subject Emotion Recognition With EEG and Eye Movement Signals

inferred← citeshttps://doi.org/10.1109/taffc.2024.3394873openalex-snapshot

Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3395359openalex-snapshot

A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer

inferred← citeshttps://doi.org/10.1109/taffc.2024.3433613openalex-snapshot

Grop: Graph Orthogonal Purification Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3463469openalex-snapshot

Improving the Interpretability Through Maximizing Mutual Information for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2024.3477302openalex-snapshot

The fNIRS-Based Emotion Recognition by Spatial Transformer and WGAN Data Augmentation Toward Developing a Novel Affective BCI

inferred← citeshttps://doi.org/10.1109/taffc.2024.3515457openalex-snapshot

Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals

inferred← citeshttps://doi.org/10.1109/taffc.2025.3555226openalex-snapshot

Emotion Recognition by Learning the Manifold of Fused Multiscale Information of EEG Signals

inferred← citeshttps://doi.org/10.1109/taffc.2025.3555439openalex-snapshot

Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach With Emotional EEG Style Transfer Network

inferred← citeshttps://doi.org/10.1109/taffc.2025.3580787openalex-snapshot

TAHAG: Two-Stage Domain Adaptation With Hybrid Adaptive Graph Learning for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3581388openalex-snapshot

EmotionMIL: An End-to-End Multiple Instance Learning Framework for Emotion Recognition From EEG Signals

inferred← citeshttps://doi.org/10.1109/taffc.2025.3587443openalex-snapshot

miMamba: EEG-Based Emotion Recognition With Multi-Scale Inverted Mamba Models

inferred← citeshttps://doi.org/10.1109/taffc.2025.3602823openalex-snapshot

DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3605833openalex-snapshot

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3608571openalex-snapshot

MIND-EEG: Multi-Granularity Integration Network With Discrete Codebook for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3611173openalex-snapshot

STRFLNet: Spatio-Temporal Representation Fusion Learning Network for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2025.3633647openalex-snapshot

Multi-View Cognitive Prior Graph Convolutional Network for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2026.3658346openalex-snapshot

Prompt-Guided Domain Generalization for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2026.3671020openalex-snapshot

Prototypical Contrastive Learning With Temporal Dynamic Graph Convolutional Network for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/taffc.2026.3671843openalex-snapshot

F2FNet: An Efficient Affective State Analysis Network Reconstructing EEG From Few-Channel to Full-Channel

inferred← citeshttps://doi.org/10.1109/tcds.2024.3470248openalex-snapshot

Functional Connectivity Patterns Learning for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tce.2026.3671310openalex-snapshot

Explainable EEG Emotion Recognition via High-Order Topological Neural Encoding for Smart Consumer Interfaces

inferred← citeshttps://doi.org/10.1109/tcss.2023.3298324openalex-snapshot

Cross-Cultural Emotion Recognition With EEG and Eye Movement Signals Based on Multiple Stacked Broad Learning System

inferred← citeshttps://doi.org/10.1109/tcss.2024.3386621openalex-snapshot

Adaptive Dual-Space Network With Multigraph Fusion for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tcss.2024.3488201openalex-snapshot

Ugan: Uncertainty-Guided Graph Augmentation Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tcss.2025.3576373openalex-snapshot

ACM-GNN: Adaptive Cluster-Oriented Modularity Graph Neural Network for EEG Depression Detection

inferred← citeshttps://doi.org/10.1109/tcss.2026.3668039openalex-snapshot

Decoupled Multimodal Fusion Network Based on Peripheral Physiological Signals

inferred← citeshttps://doi.org/10.1109/tcyb.2025.3550191openalex-snapshot

AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tii.2026.3692209openalex-snapshot

Multiview Graph Learning for Mental Stress Recognition in Human–Machine Interaction

inferred← citeshttps://doi.org/10.1109/tim.2025.3590828openalex-snapshot

CoAdapt: Collaborative Adaptation Between Latent EEG Feature Representation and Annotation for Emotion Decoding

inferred← citeshttps://doi.org/10.1109/tim.2025.3635321openalex-snapshot

Hierarchical Dynamic Local–Global-Graph Representation Learning for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tkde.2025.3538618openalex-snapshot

CogLign: Interpretable Text Sentiment Determination by Aligning Cognition Between EEG-Derived Brain Graph and Text-Derived Knowledge Graph

inferred← citeshttps://doi.org/10.1109/tmm.2024.3385676openalex-snapshot

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tnnls.2022.3225855openalex-snapshot

Hierarchical Dynamic Graph Convolutional Network With Interpretability for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3238519openalex-snapshot

Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3319315openalex-snapshot

Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3405663openalex-snapshot

An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3576182openalex-snapshot

EEG-Based Emotion Monitoring and Regulation System by Learning the Discriminative Brain Network Manifold

inferred← citeshttps://doi.org/10.1109/tnsre.2022.3173724openalex-snapshot

Multiscale Temporal Self-Attention and Dynamical Graph Convolution Hybrid Network for EEG-Based Stereogram Recognition

inferred← citeshttps://doi.org/10.1109/tnsre.2023.3322275openalex-snapshot

CLEP: Contrastive Learning for Epileptic Seizure Prediction Using a Spatio-Temporal-Spectral Network

inferred← citeshttps://doi.org/10.1109/tnsre.2024.3355750openalex-snapshot

Graph Neural Network-Based EEG Classification: A Survey

inferred← citeshttps://doi.org/10.1109/tsmc.2024.3458949openalex-snapshot

Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition

inferred← citeshttps://doi.org/10.1111/coin.12659openalex-snapshot

Masked self‐supervised pre‐training model for EEG‐based emotion recognition

inferred← citeshttps://doi.org/10.1142/s0129065725500029openalex-snapshot

SATEER: Subject-Aware Transformer for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.1145/3581783.3611754openalex-snapshot

Sensing Micro-Motion Human Patterns using Multimodal mmRadar and Video Signal for Affective and Psychological Intelligence

inferred← citeshttps://doi.org/10.1145/3581783.3612074openalex-snapshot

Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1145/3688862.3689112openalex-snapshot

Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition

inferred← citeshttps://doi.org/10.1145/3712259openalex-snapshot

Toward the Construction of Affective Brain-Computer Interface: A Systematic Review

inferred← citeshttps://doi.org/10.1145/3746270.3760230openalex-snapshot

Atoms of Thought: Universal EEG Representation Learning with Microstates

inferred← citeshttps://doi.org/10.1186/s40708-024-00242-xopenalex-snapshot

A temporal-spectral graph convolutional neural network model for EEG emotion recognition within and across subjects

inferred← citeshttps://doi.org/10.12688/f1000research.171170.1openalex-snapshot

A Review of Deep Learning Techniques for EEG-Based Emotion Recognition: Models, Methods, and Datasets

inferred← citeshttps://doi.org/10.1371/journal.pone.0297357openalex-snapshot

Empirical study of college students’ extracurricular reading preference by functional data analysis of the library book borrowing behavior

inferred← citeshttps://doi.org/10.2139/ssrn.5381613openalex-snapshot

Hierarchical Adaptive Masking Graph Convolutional Network for Eeg-Based Emotion Classification

inferred← citeshttps://doi.org/10.2139/ssrn.6833132openalex-snapshot

Multi-scale Spatio-Temporal Convolutional Attention and Dynamic Region Partition Network for EEG-based Emotion Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.7150945openalex-snapshot

STR-BNet: Joint Spatiotemporal Representation Learning and Adaptive Brain Network Modeling for EEG Recognition

inferred← citeshttps://doi.org/10.26599/bdma.2025.9020015openalex-snapshot

Multi-Scale Adaptive Graph Learning Based on Multi-Wave EEG Data for Dementia Diagnosis

inferred← citeshttps://doi.org/10.26634/jdp.12.2.21115openalex-snapshot

Tapping into emotions: Understanding the neural mechanisms of emotional responses through EEG using music

inferred← citeshttps://doi.org/10.3389/fnins.2026.1665145openalex-snapshot

MSGM: a multi-scale spatiotemporal graph Mamba for EEG emotion recognition

inferred← citeshttps://doi.org/10.3389/fphys.2024.1439607openalex-snapshot

Multi-branch fusion graph neural network based on multi-head attention for childhood seizure detection

inferred← citeshttps://doi.org/10.3390/app16125741openalex-snapshot

Efficient Affective EEG Classification Based on Multi-Attention Fusion Transformer Network

inferred← citeshttps://doi.org/10.3390/brainsci15060615openalex-snapshot

EEG Emotion Recognition Using AttGraph: A Multi-Dimensional Attention-Based Dynamic Graph Convolutional Network

inferred← citeshttps://doi.org/10.3390/brainsci16010041openalex-snapshot

Deep Learning-Based EEG Emotion Recognition: A Review

inferred← citeshttps://doi.org/10.3390/e27010096openalex-snapshot

A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition

inferred← citeshttps://doi.org/10.3390/electronics13132530openalex-snapshot

EEG Emotion Recognition Employing RGPCN-BiGRUAM: ReliefF-Based Graph Pooling Convolutional Network and BiGRU Attention Mechanism

inferred← citeshttps://doi.org/10.3390/math12081180openalex-snapshot

A Comprehensive Interaction in Multiscale Multichannel EEG Signals for Emotion Recognition

inferred← citeshttps://doi.org/10.3390/s24113350openalex-snapshot

Portable Facial Expression System Based on EMG Sensors and Machine Learning Models

inferred← citeshttps://doi.org/10.3390/s24227377openalex-snapshot

A Novel and Powerful Dual-Stream Multi-Level Graph Convolution Network for Emotion Recognition

inferred← citeshttps://doi.org/10.36227/techrxiv.170420879.92145482/v1openalex-snapshot

Emotion Recognition from Brain Connectivity Based on Multi-Head Attention Transformer and Autoencoder Network

inferred← citeshttps://doi.org/10.3934/mbe.2023953openalex-snapshot

BiTCAN: An emotion recognition network based on saliency in brain cognition

inferred← citeshttps://doi.org/10.5204/thesis.eprints.241291openalex-snapshot

Improving information fusion in deep learning

inferred← citeshttps://doi.org/10.54337/aau740088548openalex-snapshot

INVESTIGATING NOVEL METHODS AND METRICS IN CONSUMER NEUROSCIENCE

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.