Node Classification On Am
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| inducing-a-decision-tree-with-discriminative | 86.77 |
| r-gcn-the-r-could-stand-for-random | 84.65 |
| rdf2vec-rdf-graph-embeddings-and-their | 88.33 |
| modeling-relational-data-with-graph | 89.29 |
| from-primes-to-paths-enabling-fast-multi | 92.41 |
| r-gcn-the-r-could-stand-for-random | 84.8 |
| r-gcn-the-r-could-stand-for-random | 91.31 |
| scene-reasoning-about-traffic-scenes-using | 90.05 |