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Models/R-DGAE

R-DGAE

Reported on 9 benchmarks across 1 task · 1 paper · 3 SOTA

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

Graphs9 results

  • Graph ClusteringonCiteseer
    ACC· 2021-07-19
    70.5
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCiteseer
    ARI· 2021-07-19
    47.1
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCiteseer
    NMI· 2021-07-19
    45
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonPubmed
    ACC· 2021-07-19
    71.4
    best: 74 (R-GMM-VGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonPubmed
    ARI· 2021-07-19
    34.6
    best: 37.9 (R-GMM-VGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonPubmed
    NMI· 2021-07-19
    34.4
    best: 35.5 (RWR-GAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCora
    ACC· 2021-07-19
    73.7
    best: 76.7 (R-GMM-VGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCora
    ARI· 2021-07-19
    54.1
    best: 57.9 (R-GMM-VGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCora
    NMI· 2021-07-19
    56
    best: 57.3 (R-GMM-VGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562