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Models/DEMO-Net(weight)

DEMO-Net(weight)

Reported on 7 benchmarks across 3 tasks · 1 paper · 5 SOTA

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

Graphs6 results

  • Graph ClassificationonENZYMES
    Accuracy· 2019-06-05
    27.2
    best: 78.39 (DSGCN-allfeat)
    SOTA
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319
  • Node ClassificationonFacebook
    Accuracy· 2019-06-05
    91.9
    SOTA
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319
  • Node ClassificationonBlogCatalog
    Accuracy· 2019-06-05
    84.9
    best: 87.3 (ISNE)
    SOTA
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319
  • Node ClassificationonWiki-Vote
    Accuracy· 2019-06-05
    99.8
    SOTA
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319
  • Node ClassificationonEurope Air-Traffic
    Accuracy· 2019-06-05
    45.9
    best: 46 (GCN_cheby (Kipf and Welling, 2017))
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319
  • Node ClassificationonUSA Air-Traffic
    Accuracy· 2019-06-05
    64.7
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319

Methodology1 result

  • ClassificationonENZYMES
    Accuracy· 2019-06-05
    27.2
    best: 78.39 (DSGCN-allfeat)
    SOTA
    DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationarXiv:1906.02319