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Models/PI-PL

PI-PL

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Graphs3 results

  • Graph ClassificationonNEURON-MULTI
    Accuracy· 2015-07-22
    44.3
    best: 69.1 (WKPI-kcenters)
    SOTA
    Persistence Images: A Stable Vector Representation of Persistent HomologyarXiv:1507.06217
  • Graph ClassificationonNEURON-BINARY
    Accuracy· 2015-07-22
    84.1
    best: 90.3 (WKPI-kmeans)
    SOTA
    Persistence Images: A Stable Vector Representation of Persistent HomologyarXiv:1507.06217
  • Graph ClassificationonNEURON-Average
    Accuracy· 2015-07-22
    64.2
    best: 77.8 (WKPI-kcenters)
    SOTA
    Persistence Images: A Stable Vector Representation of Persistent HomologyarXiv:1507.06217

Methodology3 results

  • ClassificationonNEURON-MULTI
    Accuracy· 2015-07-22
    44.3
    best: 69.1 (WKPI-kcenters)
    SOTA
    Persistence Images: A Stable Vector Representation of Persistent HomologyarXiv:1507.06217
  • ClassificationonNEURON-BINARY
    Accuracy· 2015-07-22
    84.1
    best: 90.3 (WKPI-kmeans)
    SOTA
    Persistence Images: A Stable Vector Representation of Persistent HomologyarXiv:1507.06217
  • ClassificationonNEURON-Average
    Accuracy· 2015-07-22
    64.2
    best: 77.8 (WKPI-kcenters)
    SOTA
    Persistence Images: A Stable Vector Representation of Persistent HomologyarXiv:1507.06217