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Models/SeHGNN

SeHGNN

Reported on 13 benchmarks across 2 tasks · 1 paper · 7 SOTA

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

Graphs13 results

  • Node ClassificationonIMDB (Heterogeneous Node Classification)
    Macro-F1· 2022-07-06
    66.63
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonIMDB (Heterogeneous Node Classification)
    Micro-F1· 2022-07-06
    68.21
    best: 69.77 (RpHGNN)
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonFreebase (Heterogeneous Node Classification)
    Macro-F1· 2022-07-06
    50.71
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonDBLP (Heterogeneous Node Classification)
    Macro-F1· 2022-07-06
    94.86
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonDBLP (Heterogeneous Node Classification)
    Micro-F1· 2022-07-06
    95.24
    best: 95.55 (RpHGNN)
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonACM (Heterogeneous Node Classification)
    Claim Classification Macro-F1· 2022-07-06
    93.95
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonACM (Heterogeneous Node Classification)
    Micro-F1· 2022-07-06
    93.87
    best: 94.06 (SlotGAT)
    SOTA
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonFreebase (Heterogeneous Node Classification)
    Micro-F1· 2022-07-06
    63.41
    best: 66.83 (SlotGAT)
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonOAG-Venue
    MRR· 2022-07-06
    29.11
    best: 35.46 (RpHGNN)
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonOAG-Venue
    NDCG· 2022-07-06
    46.75
    best: 53.31 (RpHGNN)
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonOAG-L1-Field
    MRR· 2022-07-06
    84.95
    best: 86.79 (RpHGNN)
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node ClassificationonOAG-L1-Field
    NDCG· 2022-07-06
    86.01
    best: 87.8 (RpHGNN)
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547
  • Node Property Predictiononogbn-mag
    Number of params· 2022-07-06
    8371231
    best: 309777252 (R-GSN + metapath2vec)
    Simple and Efficient Heterogeneous Graph Neural NetworkarXiv:2207.02547