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

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This paper cites This approach fully leverages b oth WFC and CFC information of emotional brain states, thereby laying a foundation for accurate emotion classification.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks This approach fully leverages b oth WFC and CFC information of emotional brain states, thereby laying a foundation for accurate emotion classification

Reference 1

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

Reference 2

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This paper cites # $ = 1 %&’()*+, -.,/0 − +,$-.,/02 / 1 % ∈ , , , , -20 where !.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks # $ = 1 %&’()*+, -.,/0 − +,$-.,/02 / 1 % ∈ , , , , -20 where !

Reference 3

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This paper cites EEG Source Imaging : A Practical Review of the Analysis Steps,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks EEG Source Imaging : A Practical Review of the Analysis Steps,

Reference 4

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This paper cites Emotion Downregulation Targets Interoceptive Brain Regions While Emotion Upregulation Targets Other Af fective Brain Regions,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Emotion Downregulation Targets Interoceptive Brain Regions While Emotion Upregulation Targets Other Af fective Brain Regions,

Reference 5

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Observation f16d696b-38ea-4363-9afd-8ed914c3b16f · outbound

This paper cites The functional role of cross-frequency coupling,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks The functional role of cross-frequency coupling,

Reference 6

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

Reference 7

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This paper cites Low-frequency neuronal oscillations as instruments of sensory selection,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Low-frequency neuronal oscillations as instruments of sensory selection,

Reference 8

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This paper cites Alpha-band oscillations, attentio n, and controlled access to stored information,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Alpha-band oscillations, attentio n, and controlled access to stored information,

Reference 9

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This paper cites Emotion recogni tion based on group phase locking value using convolutional neural network,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Emotion recogni tion based on group phase locking value using convolutional neural network,

Reference 10

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This paper cites The Theta-Gamma Ne ural Code,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks The Theta-Gamma Ne ural Code,

Reference 11

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This paper cites EEG emotion recognition based on cross-frequency granger causality feature extraction and fusion in the left and right hemispheres,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks EEG emotion recognition based on cross-frequency granger causality feature extraction and fusion in the left and right hemispheres,

Reference 12

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This paper cites Graph Neural Network-Based EEG Classification : A Survey | IEEE Journals & Magazine | IEEE Xplore.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Graph Neural Network-Based EEG Classification : A Survey | IEEE Journals & Magazine | IEEE Xplore

Reference 13

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This paper cites Colloquiu m: Multiscale modeling of brain network organization,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Colloquiu m: Multiscale modeling of brain network organization,

Reference 14

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This paper cites Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review,

Reference 15

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This paper cites EEG Emotion Classification Based on Graph Convolutional Network,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks EEG Emotion Classification Based on Graph Convolutional Network,

Reference 16

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This paper cites EEG Emotion Recognition Based on Dynamic Graph Neural Networks,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks EEG Emotion Recognition Based on Dynamic Graph Neural Networks,

Reference 17

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This paper cites SAGN: Sp arse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual- View Brain Networks,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks SAGN: Sp arse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual- View Brain Networks,

Reference 18

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

Reference 19

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This paper cites Graph Attention Networks.

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

Reference 20

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This paper cites Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coup ling for Human EEG After Stroke,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coup ling for Human EEG After Stroke,

Reference 21

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This paper cites Review of Graph Neural Network in Text Classification,.

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

Reference 22

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This paper cites Graph Neural Networks and Their Current Applications in Bioinformatics,.

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

Reference 23

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This paper cites Gra ph Neural Networks in Network Neuroscience,.

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

Reference 24

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This paper cites EEG-Based Emo tion Recognition Using Regularized Graph Neural Networks,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks EEG-Based Emo tion Recognition Using Regularized Graph Neural Networks,

Reference 25

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This paper cites Representation Learning with Contrastive Predictive Coding.

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

Reference 26

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This paper cites A Graph Neur al Network for EEG- Based Emotion Recognition With Contrastive Learning and Generative Adversarial Neural Network Data Augmentation,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks A Graph Neur al Network for EEG- Based Emotion Recognition With Contrastive Learning and Generative Adversarial Neural Network Data Augmentation,

Reference 27

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This paper cites Emotion recognition of EEG signals based on contrastive lea rning graph convolutional model,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Emotion recognition of EEG signals based on contrastive lea rning graph convolutional model,

Reference 28

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DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks On the theory of filter ampli fiers,

Reference 29

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This paper cites Investigating Criti cal Frequency Bands and Channels for EEG-Based Emotion Recognition with Dee p Neural Networks,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Investigating Criti cal Frequency Bands and Channels for EEG-Based Emotion Recognition with Dee p Neural Networks,

Reference 30

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

Reference 31

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This paper cites How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 32

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DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Edge Directionality Improves Lear ning on Heterophilic Graphs,

Reference 33

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DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Reference 34

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

Reference 35

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DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Elastic Graph Transformer Networks for EEG-Based Emotion Recognit ion,

Reference 36

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DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Variational Instance-Adaptive Graph for EEG Emotion Recognition,

Reference 37

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This paper cites GMSS: Graph-Based Multi-Task Se lf-Supervised Learning for EEG Emotion Recognition,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks GMSS: Graph-Based Multi-Task Se lf-Supervised Learning for EEG Emotion Recognition,

Reference 38

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This paper cites MSFR-GCN: A Multi-Scale Feature Reconstruction Graph Convolutional Network for EEG Emotion and Cognition Recognition,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks MSFR-GCN: A Multi-Scale Feature Reconstruction Graph Convolutional Network for EEG Emotion and Cognition Recognition,

Reference 39

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This paper cites Emotio n Recognition Using Hierarchical Spatiotemporal Electroencephalogram In formation from Local to Global Brain Regions,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Emotio n Recognition Using Hierarchical Spatiotemporal Electroencephalogram In formation from Local to Global Brain Regions,

Reference 40

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This paper cites E EG emotion recognition using EEG-SWTNS neural network through EEG spectral image,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks E EG emotion recognition using EEG-SWTNS neural network through EEG spectral image,

Reference 41

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This paper cites Graph Convolutional Network Wi th Connectivity Uncertainty for EEG-Based Emotion Recognition,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks Graph Convolutional Network Wi th Connectivity Uncertainty for EEG-Based Emotion Recognition,

Reference 42

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This paper cites EEG-based emotion recognition using a temporal-difference minimizing neural network,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks EEG-based emotion recognition using a temporal-difference minimizing neural network,

Reference 43

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This paper cites An Efficient Graph Learning Sys tem for Emotion Recognition Inspired by the Cognitive Prior Graph o f EEG Brain Network,.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks An Efficient Graph Learning Sys tem for Emotion Recognition Inspired by the Cognitive Prior Graph o f EEG Brain Network,

Reference 44

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