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Models/R-GMM-VGAE

R-GMM-VGAE

Reported on 9 benchmarks across 1 task · 1 paper · 5 SOTA

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

Graphs9 results

  • Graph ClusteringonPubmed
    ACC· 2021-07-19
    74
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonPubmed
    ARI· 2021-07-19
    37.9
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCora
    ACC· 2021-07-19
    76.7
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCora
    ARI· 2021-07-19
    57.9
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCora
    NMI· 2021-07-19
    57.3
    SOTA
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonPubmed
    NMI· 2021-07-19
    33.4
    best: 35.5 (RWR-GAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCiteseer
    ACC· 2021-07-19
    68.9
    best: 70.5 (R-DGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCiteseer
    ARI· 2021-07-19
    43.9
    best: 47.1 (R-DGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562
  • Graph ClusteringonCiteseer
    NMI· 2021-07-19
    42
    best: 45 (R-DGAE)
    Rethinking Graph Auto-Encoder Models for Attributed Graph ClusteringarXiv:2107.08562