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Models/SR-GNN

SR-GNN

Reported on 28 benchmarks across 3 tasks · 2 papers · 25 SOTA

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

Computer Vision16 results

  • Image ClassificationonFGVC Aircraft
    Accuracy· 2022-09-05
    95.4
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonFGVC Aircraft
    FLOPS· 2022-09-05
    9.8
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonOxford 102 Flowers
    FLOPS· 2022-09-05
    9.8
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonOxford 102 Flowers
    PARAMS· 2022-09-05
    30.9
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonStanford Cars
    FLOPS· 2022-09-05
    9.8
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonStanford Cars
    PARAMS· 2022-09-05
    30.9
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonFGVC Aircraft
    Accuracy· 2022-09-05
    95.4
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonFGVC Aircraft
    FLOPS· 2022-09-05
    9.8
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonOxford 102 Flowers
    FLOPS· 2022-09-05
    9.8
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonOxford 102 Flowers
    PARAMS· 2022-09-05
    30.9
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonStanford Cars
    Accuracy· 2022-09-05
    96.1
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonStanford Cars
    FLOPS· 2022-09-05
    9.8
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonStanford Cars
    PARAMS· 2022-09-05
    30.9
    SOTA
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonFGVC Aircraft
    PARAMS· 2022-09-05
    30.9
    best: 34.2 (CAP)
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Image ClassificationonStanford Cars
    Accuracy· 2022-09-05
    96.1
    best: 96.868 (efficient adaptive ensembling)
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109
  • Fine-Grained Image ClassificationonFGVC Aircraft
    PARAMS· 2022-09-05
    30.9
    best: 34.2 (CAP)
    SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image CategorizationarXiv:2209.02109

Knowledge Base12 results

  • Recommendation Systemsonyoochoose1/64
    HR@20· 2018-11-01
    70.57
    best: 72.62 (SR-PredAO+SGNNHN)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation Systemsonyoochoose1/64
    MRR@20· 2018-11-01
    30.94
    best: 32.61 (SGNN-HN)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation Systemsonyoochoose1/4
    HR@20· 2018-11-01
    71.36
    best: 72.9 (NISER+)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation Systemsonyoochoose1/4
    MRR@20· 2018-11-01
    31.89
    best: 32.7 (STAR)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation SystemsonGowalla
    HR@20· 2018-11-01
    50.32
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation SystemsonGowalla
    MRR@20· 2018-11-01
    24.25
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation SystemsonLast.FM
    HR@20· 2018-11-01
    22.33
    best: 28.82 (PEN4Rec)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation SystemsonLast.FM
    MRR@20· 2018-11-01
    8.23
    best: 11.33 (PEN4Rec)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation SystemsonDiginetica
    Hit@20· 2018-11-01
    50.73
    best: 57.86 (SR-PredAO+DIDN)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation SystemsonDiginetica
    MRR@20· 2018-11-01
    17.59
    best: 20.49 (SR-PredAO+DIDN)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation Systemsonyoochoose1
    MRR@20· 2018-11-01
    30.94
    best: 31.16 (EMDE MM)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855
  • Recommendation Systemsonyoochoose1
    Precision@20· 2018-11-01
    70.57
    best: 74.3 (EMDE MM)
    SOTA
    Session-based Recommendation with Graph Neural NetworksarXiv:1811.00855