Node Classification On Coco Sp
المقاييس
macro F1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | macro F1 |
|---|---|
| unlocking-the-potential-of-classic-gnns-for | 0.3802 ± 0.0015 |
| long-range-graph-benchmark | 0.2641±0.0045 |
| long-range-graph-benchmark | 0.2574±0.0034 |
| where-did-the-gap-go-reassessing-the-long | 0.2922±0.0018 |
| long-range-graph-benchmark | 0.0841±0.0010 |
| recipe-for-a-general-powerful-scalable-graph | 0.3412±0.0044 |
| long-range-graph-benchmark | 0.1339±0.0044 |
| next-level-message-passing-with-hierarchical | 0.3535±0.0032 |
| where-did-the-gap-go-reassessing-the-long | 0.2125±0.0009 |
| exphormer-sparse-transformers-for-graphs | 0.343±0.0008 |
| learning-long-range-dependencies-on-graphs | 0.4398 ± 0.0033 |
| long-range-graph-benchmark | 0.2434±0.0156 |
| long-range-graph-benchmark | 0.2618±0.0031 |
| long-range-graph-benchmark | 0.2592±0.0158 |
| simple-and-deep-graph-convolutional-networks-1 | 0.1404±0.0011 |
| where-did-the-gap-go-reassessing-the-long | 0.3884±0.0055 |
| where-did-the-gap-go-reassessing-the-long | 0.1338±0.0007 |