Towards Effective Multimodal Emotion Recognition in Conversations via Joint Multi-Graph Learning


Emotion Recognition in Conversation (ERC) plays a vital role in building empathetic and intelligent conversational systems. This newly published research introduces DiGemo, a novel multimodal framework that combines Transformer-based contextual modeling, graph learning, adaptive multimodal fusion, and self-distillation to improve emotion recognition in conversations. Visit: aidatascientists.com Nomination: https://aidatascientists.com/award-nomination/ Follow us on: Pinterest: https://in.pinterest.com/aidatascientistaward/ Instagram: https://www.instagram.com/aidatascientistaward/ WhatsApp Channel: https://whatsapp.com/channel/0029VazcEr8BFLgTQmFWhN3I #worldresearchawards #researchawards #AcademicAwards #ScienceAwards #ArtificialIntelligence #AIExcellence #DataScienceLeaders #ResearchPublication #NewPublicationAlert

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