Chameleon
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Chameleon | Accuracy87.22 | 867 | |
| Node classification | Chameleon (test) | Mean Accuracy80.17 | 335 | |
| Camouflaged Object Detection | CHAMELEON | S-measure (S_alpha)93.3 | 207 | |
| AI-generated image detection | Chameleon | Accuracy93.07 | 127 | |
| AI-generated image detection | Chameleon (test) | Accuracy95.64 | 109 | |
| Node Classification | Chameleon (60%/20%/20% random) | Accuracy76.08 | 72 | |
| Camouflaged Object Detection | CHAMELEON (test) | E-phi Score0.963 | 67 | |
| Node Classification | Chameleon h=0.23 (test) | Mean Accuracy72.13 | 56 | |
| Node Classification | CHAMELEON vanilla (test) | Miss-classification Rate (Δ=1)0.13 | 50 | |
| Node Classification | Chameleon (48/32/20) | Mean Accuracy79.6 | 49 | |
| Camouflaged Object Detection | CHAMELEON 76 (test) | Sm0.941 | 44 | |
| Node Classification | Chameleon (filtered splits) | Accuracy44.9 | 43 | |
| Node Classification | Chameleon (fixed) | Accuracy68.42 | 42 | |
| Graph reconstruction | Chameleon | AUC80 | 36 | |
| AI-generated image detection | Chameleon | B.Acc99.9 | 35 | |
| Node Classification | CHAMELEON | Average Rank1 | 34 | |
| Node Classification | Chameleon Standard (test) | Accuracy72.66 | 33 | |
| Node Classification | Chameleon (10 different splits) | Accuracy71.38 | 30 | |
| Node Classification | CHAMELEON | Misclassification Rate0.27 | 28 | |
| Camouflaged Object Segmentation | CHAMELEON | Fw_beta89.5 | 28 | |
| Node classification | Chameleon | Accuracy73 | 28 | |
| Camouflaged Object Detection | CHAMELEON (76) | Sm Score92.3 | 26 | |
| Node Classification | Chameleon dense original | Accuracy79.84 | 26 | |
| Edge Unlearning | Chameleon (hard) | Trade-off of Unlearning (ToU)82.22 | 25 | |
| Out-of-Distribution Detection | Chameleon | Rank1.8 | 24 |
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