# Image Classification on CIFAR-10 Superpixels Source: [Image Classification on CIFAR-10 Superpixels]() Collection index: [llms.txt]() Data updated: 2026-07-07T10:15:33.336Z Evaluation of Image Classification performance on the CIFAR-10 Superpixels dataset, reporting standard accuracy. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Image Classification | | Dataset (including any stated split) | CIFAR-10 Superpixels | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 13 of 13 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | SuperGT | 80.19 | Not recorded | 6a4c882d85dba69fef8b2b1b | | ShapeGNN | 80.18 | Not recorded | 6a4c882d85dba69fef8b2b1b | | PNA | 76.44 | Not recorded | 6a4c882d85dba69fef8b2b1b | | IMGCN-LPE† | 73.09 | Not recorded | 6a4c882d85dba69fef8b2b1b | | GraphSAGE | 72.17 | Not recorded | 6a4c882d85dba69fef8b2b1b | | HGNN† | 70.61 | Not recorded | 6a4c882d85dba69fef8b2b1b | | MLP | 70.44 | Not recorded | 6a4c882d85dba69fef8b2b1b | | DISCO-GCN† | 70.01 | Not recorded | 6a4c882d85dba69fef8b2b1b | | GATv2 | 65.14 | Not recorded | 6a4c882d85dba69fef8b2b1b | | GIN | 63.02 | Not recorded | 6a4c882d85dba69fef8b2b1b | | GCN | 60.54 | Not recorded | 6a4c882d85dba69fef8b2b1b | | GAT | 58.21 | Not recorded | 6a4c882d85dba69fef8b2b1b | | RAG-GAT † | 45.93 | Not recorded | 6a4c882d85dba69fef8b2b1b | ### SuperGT Accuracy: 80.19. Result ID: 6a4cd1b060b88bb339ca6056. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Ours"}. This record does not assert independent reproduction. ### ShapeGNN Accuracy: 80.18. Result ID: 6a4cd1b060b88bb339ca6055. [Reporting paper]() Recorded evaluation configuration: {"Category":"Baselines"}. This record does not assert independent reproduction. ### PNA Accuracy: 76.44. Result ID: 6a4cd1b060b88bb339ca6050. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Standard GNNs"}. This record does not assert independent reproduction. ### IMGCN-LPE† Accuracy: 73.09. Result ID: 6a4cd1b060b88bb339ca6054. [Reporting paper]() Recorded evaluation configuration: {"Category":"Baselines"}. This record does not assert independent reproduction. ### GraphSAGE Accuracy: 72.17. Result ID: 6a4cd1b060b88bb339ca604f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Standard GNNs"}. This record does not assert independent reproduction. ### HGNN† Accuracy: 70.61. Result ID: 6a4cd1b060b88bb339ca6053. [Reporting paper]() Recorded evaluation configuration: {"Category":"Baselines"}. This record does not assert independent reproduction. ### MLP Accuracy: 70.44. Result ID: 6a4cd1b060b88bb339ca604a. [Reporting paper]() Recorded evaluation configuration: {"Category":"MLP"}. This record does not assert independent reproduction. ### DISCO-GCN† Accuracy: 70.01. Result ID: 6a4cd1b060b88bb339ca6052. [Reporting paper]() Recorded evaluation configuration: {"Category":"Baselines"}. This record does not assert independent reproduction. ### GATv2 Accuracy: 65.14. Result ID: 6a4cd1b060b88bb339ca604e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Standard GNNs"}. This record does not assert independent reproduction. ### GIN Accuracy: 63.02. Result ID: 6a4cd1b060b88bb339ca604d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Standard GNNs"}. This record does not assert independent reproduction. ### GCN Accuracy: 60.54. Result ID: 6a4cd1b060b88bb339ca604c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Standard GNNs"}. This record does not assert independent reproduction. ### GAT Accuracy: 58.21. Result ID: 6a4cd1b060b88bb339ca604b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Standard GNNs"}. This record does not assert independent reproduction. ### RAG-GAT † Accuracy: 45.93. Result ID: 6a4cd1b060b88bb339ca6051. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Baselines"}. 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