TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/SSGC

SSGC

Reported on 14 benchmarks across 3 tasks

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

Natural Language Processing5 results

  • Text ClassificationonR52
    Accuracy
    94.5
    best: 96.6 (1-6 BertGCN)
  • Text ClassificationonOhsumed
    Accuracy
    68.5
    best: 72.8 (RoBERTaGCN)
  • Text ClassificationonR8
    Accuracy
    97.4
    best: 98.451 (DeBERTa)
  • Text ClassificationonMR
    Accuracy
    76.7
    best: 93.3 (VLAWE)
  • Text Classificationon20NEWS
    Accuracy
    88.6
    best: 93 (LinearSVM+TFIDF)

Methodology5 results

  • ClassificationonR52
    Accuracy
    94.5
    best: 96.6 (1-6 BertGCN)
  • ClassificationonOhsumed
    Accuracy
    68.5
    best: 72.8 (RoBERTaGCN)
  • ClassificationonR8
    Accuracy
    97.4
    best: 98.451 (DeBERTa)
  • ClassificationonMR
    Accuracy
    76.7
    best: 93.3 (VLAWE)
  • Classificationon20NEWS
    Accuracy
    88.6
    best: 93 (LinearSVM+TFIDF)

Graphs4 results

  • Node ClassificationonReddit
    Accuracy
    95.3
  • Node ClassificationonCora: fixed 20 node per class
    Accuracy
    83
    best: 84.2 (DSGCN)
  • Node ClassificationonPubMed with Public Split: fixed 20 nodes per class
    Accuracy
    80.4
  • Node ClassificationonCiteSeer with Public Split: fixed 20 nodes per class
    Accuracy
    73.6
    best: 77.5 (OGC)