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Models/MMGCN

MMGCN

Reported on 16 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base12 results

  • Recommendation SystemsonAmazon Baby
    NDCG@20
    0.0282
    best: 0.0452 (MIG-GT)
  • Recommendation SystemsonAmazon Sports
    NGCG@20
    0.027
    best: 0.0511 (MIG-GT)
  • Recommendation SystemsonAmazon Clothing
    NDCG@20
    0.0154
    best: 0.0422 (MIG-GT)
  • Recommendation SystemsonMovieLens 10M
    NDCG
    0.3062
  • Recommendation SystemsonMovieLens 10M
    Precision
    0.1215
  • Recommendation SystemsonMovieLens 10M
    Recall
    0.5138
  • Recommendation SystemsonTiktok
    NDCG
    0.3423
  • Recommendation SystemsonTiktok
    Precision
    0.1164
  • Recommendation SystemsonTiktok
    Recall
    0.552
  • Recommendation SystemsonKwai
    NDCG
    0.2298
  • Recommendation SystemsonKwai
    Precision
    0.3057
  • Recommendation SystemsonKwai
    Recall
    0.3996

Audio4 results

  • Emotion RecognitiononCMU-MOSEI-Sentiment
    Accuracy· 2021-07-14
    45.67
    best: 46.82 (GraphSmile)
    SOTA
    MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationarXiv:2107.06779
  • Emotion RecognitiononCMU-MOSEI-Sentiment
    Weighted F1· 2021-07-14
    44.11
    best: 44.93 (GraphSmile)
    SOTA
    MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationarXiv:2107.06779
  • Emotion RecognitiononIEMOCAP-4
    Accuracy· 2021-07-14
    79.75
    best: 86.53 (GraphSmile)
    MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationarXiv:2107.06779
  • Emotion RecognitiononIEMOCAP-4
    Weighted F1· 2021-07-14
    79.72
    best: 86.52 (GraphSmile)
    MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationarXiv:2107.06779