# Graph Classification

This leaderboard reports the performance of graph classification methods. we run all algorithms on several datasets and report the sorted experimental results.

Rank Method MUTAG IMDB-B IMDB-M PROTEINS COLLAB PTC NCI1 REDDIT-B
1 GIN (Xu et al, ICLR'19) (opens new window) 92.06 76.10 51.80 75.19 79.52 67.82 81.66 83.10
2 Infograph (Sun et al, ICLR'20) (opens new window) 88.95 74.50 51.33 73.93 79.4 60.74 76.64 76.55
3 DiffPool (Ying et al, NeuIPS'18) (opens new window) 85.18 72.50 50.50 75.30 79.27 58.00 69.09 81.20
4 SortPool (Zhang et al, AAAI'18) (opens new window) 87.25 75.40 50.47 74.48 80.07 62.04 73.99 78.15
5 Graph2Vec (Narayanan et al, CoRR'17) (opens new window) 83.68 73.90 52.27 73.30 85.58 54.76 71.85 91.77
6 PATCH_SAN (Niepert et al, ICML'16) (opens new window) 86.12 76.00 46.40 75.38 74.34 61.60 69.82 60.61
7 HGP-SL (Zhang et al, AAAI'20) (opens new window) 81.93 74.00 49.53 73.94 82.08 / / /
8 DGCNN (Wang et al, ACM Transactions on Graphics'17) (opens new window) 83.33 71.60 49.20 66.75 77.45 56.62 65.96 86.20
9 SAGPool (J. Lee, ICML'19) (opens new window) 71.73 74.80 51.33 74.03 / 59.92 72.87 89.21
10 DGK (Yanardag et al, KDD'15) (opens new window) 85.58 55.00 40.40 72.59 / / / /
Last Updated: 4/13/2021, 8:07:23 PM