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Models/KGAT

KGAT

Reported on 7 benchmarks across 3 tasks · 3 papers · 2 SOTA

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

Graphs4 results

  • Link PredictiononYelp
    HR@10· 2019-05-20
    0.8762
    best: 0.9128 (PEAGAT)
    SOTA
    KGAT: Knowledge Graph Attention Network for RecommendationarXiv:1905.07854
  • Link PredictiononYelp
    nDCG@10· 2019-05-20
    0.6136
    best: 0.6641 (PEAGAT)
    SOTA
    KGAT: Knowledge Graph Attention Network for RecommendationarXiv:1905.07854
  • Link PredictiononMovieLens 25M
    Hits@10· 2019-05-20
    0.8147
    best: 0.8284 (PEAGAT)
    KGAT: Knowledge Graph Attention Network for RecommendationarXiv:1905.07854
  • Link PredictiononMovieLens 25M
    nDCG@10· 2019-05-20
    0.5236
    best: 0.5475 (PEAGAT)
    KGAT: Knowledge Graph Attention Network for RecommendationarXiv:1905.07854

Natural Language Processing2 results

  • Fact VerificationonFEVER
    Accuracy· 2019-10-22
    74.1
    best: 79.47 (ProoFVer-SB)
    Fine-grained Fact Verification with Kernel Graph Attention NetworkarXiv:1910.09796
  • Fact VerificationonFEVER
    FEVER· 2019-10-22
    70.4
    best: 76.82 (ProoFVer-SB)
    Fine-grained Fact Verification with Kernel Graph Attention NetworkarXiv:1910.09796

Miscellaneous1 result

  • General KnowledgeonMovieLens 1M
    NDCG· 2022-04-24
    0.33
    Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsarXiv:2204.11241