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GraphMFT: A graph network based multimodal fusion technique for emotion recognition in conversation
14 references·2 citing·29 second hop
GraphMFT: A graph network based multimodal fusion technique for emotion recognition in conversation (2023)GraphMFT: A graph network based multimoda…MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)MMGCN: Multimodal Fusion via …DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition (2021)DialogXL: All-in-One XLNet fo…DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations (2021)DialogueCRN: Contextual Reaso…Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations (2020)Relation-aware Graph Attentio…COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)COSMIC: COmmonSense knowledge…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)DialogueGCN: A Graph Convolut…Bagged support vector machines for emotion recognition from speech (2019)Bagged support vector machine…ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)ICON: Interactive Conversatio…Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)Conversational Memory Network…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Progress on a cognitive-motivational-relational theory of emotion. (1991)Progress on a cognitive-motiv…FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation (2025)FrameERC: Framelet Transform …HiMul-LGG: A hierarchical decision fusion-based local–global graph neural network for multimodal emotion recognition in conversation (2024)HiMul-LGG: A hierarchical dec…Cognitive representations of semantic categories. (1975)An effect size primer: A guide for clinicians and researchers. (2009)Praat: Doing Phonetics by Computer (2011)Ambulatory Assessment (2012)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The expression of the emotions in man and animals. (1872)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)The Handbook of Conversation Analysis (2013)The chameleon effect: The perception–behavior link and social interaction. (1999)CTNet: Conversational Transformer Network for Emotion Recognition (2021)Measuring emotion: The self-assessment manikin and the semantic differential (1994)A systematic review on affective computing: emotion models, databases, and recent advances (2022)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation (2022)A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)Emotion recognition from unimodal to multimodal analysis: A review (2023)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition (2023)MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations (2022)Emotional regulation in the workplace: A new way to conceptualize emotional labor. (2000)Healthy and Unhealthy Emotion Regulation: Personality Processes, Individual Differences, and Life Span Development (2004)The Prosocial Classroom: Teacher Social and Emotional Competence in Relation to Student and Classroom Outcomes (2008)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 1991Progress on a cognitive-motivational-relational theory of emotion.3,266 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation763 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2018Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos493 cited
  • 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
  • 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversations389 cited
  • 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
  • 2021DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations257 cited
  • 2019Bagged support vector machines for emotion recognition from speech248 cited
  • 2021DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition239 cited
  • 2020Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations

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222 cited

Cited by

  • 2025FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation69 cited
  • 2024HiMul-LGG: A hierarchical decision fusion-based local–global graph neural network for multimodal emotion recognition in conversation66 cited