Graph Neural Reaction Diffusion Models

Benchmark Model Rank Results
node-classification-on-actorRDGNN-IAccuracy: 38.69 ± 1.41
node-classification-on-chameleonRDGNN-IAccuracy: 74.79 ± 2.14
node-classification-on-cornellRDGNN-IAccuracy: 92.72 ± 5.88
node-classification-on-squirrelRDGNN-IAccuracy: 65.62 ± 2.33
node-classification-on-texasRDGNN-IAccuracy: 93.51 ± 5.93
node-classification-on-texasRDGNN-SAccuracy: 94.59 ± 5.97
node-classification-on-wisconsinRDGNN-IAccuracy: 93.72 ± 4.59