Leaderboards for Node Property Prediction

Check leaderboards for
- ogbn-products
- ogbn-proteins
- ogbn-arxiv
- ogbn-papers100M
- ogbn-mag

The bold method name indicates that the implementation is official (by the author of the original paper).
Package denotes the required package version for each dataset to be eligible for the leaderboard.


Leaderboard for ogbn-products

The classification accuracy on the test and validation sets. The higher, the better.

Package: >=1.1.1

Rank Method Test Accuracy Validation Accuracy Contact References #Params Hardware Date
1 SAGN+SLE (4 stages)+C&S 0.8485 ± 0.0010 0.9302 ± 0.0003 Chuxiong Sun (CTRI) Paper, Code 2,179,678 Tesla V100 (16GB GPU) Sep 21, 2021
2 SAGN+SLE (4 stages) 0.8468 ± 0.0012 0.9309 ± 0.0007 Chuxiong Sun (CTRI) Paper, Code 2,179,678 Tesla V100 (16GB GPU) Sep 21, 2021
3 GAMLP+RLU 0.8459 ± 0.0010 0.9324 ± 0.0005 Wentao Zhang (PKU Tencent Joint Lab) Paper, Code 3,335,831 Tesla V100 (32GB) Aug 19, 2021
4 Spec-MLP-Wide + C&S 0.8451 ± 0.0006 0.9132 ± 0.0010 Huixuan Chi (AML@ByteDance) Paper, Code 406,063 Tesla V100 (32GB) Jul 27, 2021
5 SAGN+SLE 0.8428 ± 0.0014 0.9287 ± 0.0003 Chuxiong Sun Paper, Code 2,179,678 Tesla V100 (16GB GPU) Apr 19, 2021
6 MLP + C&S 0.8418 ± 0.0007 0.9147 ± 0.0009 Horace He (Cornell) Paper, Code 96,247 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
7 GAMLP 0.8354 ± 0.0009 0.9312 ± 0.0003 Wentao Zhang (PKU Tencent Joint Lab) Paper, Code 3,335,831 Tesla V100 (32GB) Aug 22, 2021
8 Linear + C&S 0.8301 ± 0.0001 0.9134 ± 0.0001 Horace He (Cornell) Paper, Code 10,763 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
9 UniMP 0.8256 ± 0.0031 0.9308 ± 0.0017 Yunsheng Shi (PGL team) Paper, Code 1,475,605 Tesla V100 (32GB) Sep 8, 2020
10 Plain Linear + C&S 0.8254 ± 0.0003 0.9103 ± 0.0001 Horace He (Cornell) Paper, Code 4,747 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
11 DeeperGCN+FLAG 0.8193 ± 0.0031 0.9221 ± 0.0037 Kezhi Kong Paper, Code 253,743 NVIDIA Tesla V100 (32GB GPU) Oct 20, 2020
12 GAT+FLAG 0.8176 ± 0.0045 0.9251 ± 0.0006 Kezhi Kong Paper, Code 751,574 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
13 GraphSAGE + C&S + node2vec 0.8154 ± 0.0050 0.9238 ± 0.0006 HuiXuan Chi Paper, Code 103,983 Tesla V100 (32GB) Apr 6, 2021
14 SAGN 0.8120 ± 0.0007 0.9309 ± 0.0004 Chuxiong Sun Paper, Code 2,233,391 Tesla V100 (16GB GPU) Apr 19, 2021
15 DeeperGCN 0.8098 ± 0.0020 0.9238 ± 0.0009 Guohao Li - DeepGCNs.org Paper, Code 253,743 NVIDIA Tesla V100 (32GB GPU) Jun 28, 2020
16 GAT w/NS + C&S 0.8092 ± 0.0037 0.9263 ± 0.0008 HuiXuan Chi Paper, Code 753,622 Tesla V100 (32GB) Apr 4, 2021
17 SIGN 0.8052 ± 0.0016 0.9299 ± 0.0004 Lingfan Yu (DGL Team) Paper, Code 3,483,703 Tesla T4 (15 GB GPU) Nov 5, 2020
18 GraphSAGE w/NS + C&S 0.8041 ± 0.0022 0.9238 ± 0.0007 HuiXuan Chi Paper, Code 207,919 Tesla V100 (32GB) Apr 5, 2021
19 GraphSAINT-inductive 0.8027 ± 0.0026 Please tell us Hanqing Zeng Paper, Code 331,661 Tesla P100 (16GB GPU) Jul 13, 2020
20 ClusterGCN+residual+3 layers 0.7971 ± 0.0042 0.9188 ± 0.0008 Horace He (Cornell) Paper, Code 456,034 GeForce RTX 2080 (11GB GPU) Oct 6, 2020
21 GAT with NeighborSampling 0.7945 ± 0.0059 Please tell us Matthias Fey Paper, Code 751,574 GeForce RTX 2080 (11GB GPU) May 24, 2020
22 GraphSAGE+FLAG 0.7936 ± 0.0057 0.9205 ± 0.0007 Kezhi Kong Paper, Code 206,895 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
23 Cluster-GAT 0.7923 ± 0.0078 0.8985 ± 0.0022 Xiang Song Paper, Code 1,540,848 EC2 P3.2xlarge (V100) Aug 2, 2020
24 GraphSAINT (SAGE aggr) 0.7908 ± 0.0024 0.9162 ± 0.0008 Matthias Fey – OGB team Paper, Code 206,895 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
25 ClusterGCN (SAGE aggr) 0.7897 ± 0.0033 0.9212 ± 0.0009 Matthias Fey – OGB team Paper, Code 206,895 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
26 NeighborSampling (SAGE aggr) 0.7870 ± 0.0036 0.9170 ± 0.0009 Matthias Fey – OGB team Paper, Code 206,895 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
27 Full-batch GraphSAGE 0.7850 ± 0.0014 0.9224 ± 0.0007 Matthias Fey – OGB team Paper, Code 206,895 Quadro RTX 8000 (48GB GPU) Jun 20, 2020
28 GraphSAGE 0.7829 ± 0.0016 Please tell us Quan Gan (DGL Team) Paper, Code Please tell us Please tell us May 12, 2020
29 Full-batch GCN 0.7564 ± 0.0021 0.9200 ± 0.0003 Matthias Fey – OGB team Paper, Code 103,727 Quadro RTX 8000 (48GB GPU) Jun 20, 2020
30 Label Propagation 0.7434 ± 0.0000 0.9091 ± 0.0000 Horace He (Cornell) Paper, Code 0 GeForce RTX 2080 (11GB GPU) Oct 3, 2020
31 GraphZoom (Node2vec) 0.7406 ± 0.0026 0.9066 ± 0.0011 Xiuyu Li - GraphZoom Paper, Code 120,251,183 NVIDIA TITAN RTX (24GB GPU) Oct 6, 2020
32 Node2vec 0.7249 ± 0.0010 0.9032 ± 0.0006 Matthias Fey – OGB team Paper, Code 313,612,207 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
33 CoLinkDistMLP 0.6259 ± 0.0010 0.7721 ± 0.0015 Yi Luo (UESTC) Paper, Code 115,806 Geforce GTX 1080 Ti (11GB GPU) Jun 17, 2021
34 MLP+FLAG 0.6241 ± 0.0016 0.7688 ± 0.0014 Kezhi Kong Paper, Code 103,727 GeForce RTX 2080 Ti (11GB GPU) Nov 17, 2020
35 MLP 0.6106 ± 0.0008 0.7554 ± 0.0014 Matthias Fey – OGB team Paper, Code 103,727 GeForce RTX 2080 (11GB GPU) Jun 10, 2020


Leaderboard for ogbn-proteins

The ROC-AUC score on the test and validation sets. The higher, the better.

Package: >=1.1.1

Rank Method Test ROC-AUC Validation ROC-AUC Contact References #Params Hardware Date
1 RevGNN-Wide 0.8824 ± 0.0015 0.9450 ± 0.0008 Guohao Li - DeepGCNs.org Paper, Code 68,471,608 NVIDIA RTX 6000 (48G) Jun 16, 2021
2 RevGNN-Deep 0.8774 ± 0.0013 0.9326 ± 0.0006 Guohao Li - DeepGCNs.org Paper, Code 20,031,384 NVIDIA RTX 6000 (48G) Jun 16, 2021
3 GAT+BoT 0.8765 ± 0.0008 0.9280 ± 0.0008 Yangkun Wang (DGL Team) Paper, Code 2,484,192 Tesla A100 (40GB GPU) Jun 16, 2021
4 GAT + labels + node2vec 0.8711 ± 0.0007 0.9217 ± 0.0011 Huixuan Chi Paper, Code 6,360,470 Tesla V100 (32GB) Jun 7, 2021
5 GIPA 0.8700 ± 0.0010 0.9187 ± 0.0003 Qinkai Zheng (GeaLearn Team) Paper, Code 4,831,056 GeForce Titan RTX (24GB GPU) May 13, 2021
6 UniMP+CrossEdgeFeat 0.8691 ± 0.0018 0.9258 ± 0.0009 Yelrose (PGL Team) Paper, Code 1,959,984 Tesla V100 (32GB) Nov 24, 2020
7 GAT+EdgeFeatureAtt 0.8682 ± 0.0021 0.9194 ± 0.0003 Yangkun Wang (DGL Team) Paper, Code 2,475,232 p3.8xlarge (15GB GPU) Nov 6, 2020
8 UniMP 0.8642 ± 0.0008 0.9175 ± 0.0006 Yunsheng Shi (PGL team) Paper, Code 1,909,104 Tesla V100 (32GB) Sep 8, 2020
9 DeeperGCN+FLAG 0.8596 ± 0.0027 0.9132 ± 0.0022 Kezhi Kong Paper, Code 2,374,568 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
10 DeeperGCN 0.8580 ± 0.0017 0.9106 ± 0.0016 Guohao Li - DeepGCNs.org Paper, Code 2,374,568 NVIDIA Tesla V100 (32GB GPU) Jun 16, 2020
11 DeepGCN 0.8496 ± 0.0028 0.8971 ± 0.0011 Guohao Li - DeepGCNs.org Paper, Code 2,374,456 NVIDIA Tesla V100 (32GB GPU) Jun 20, 2020
12 MWE-DGCN 0.8436 ± 0.0065 0.8973 ± 0.0057 Zhengdao Chen Paper, Code 538,544 NVIDIA Tesla V100 (16GB GPU) Jul 20, 2020
13 GEN + FLAG + node2vec 0.8251 ± 0.0043 0.8656 ± 0.0037 HuiXuan Chi Paper, Code 487,436 Tesla V100 (32GB) Apr 15, 2021
14 GeniePath-BS 0.7825 ± 0.0035 Please tell us Zhengwei WU (AGL Team) Paper, Code 316,754 Intel Xeon E5-2682 v4 (512GB CPU) Jun 10, 2020
15 GaAN 0.7803 ± 0.0073 Please tell us Wenjin Wang (PGL Team) Paper, Code Please tell us Please tell us May 26, 2020
16 GraphSAGE 0.7768 ± 0.0020 0.8334 ± 0.0013 Matthias Fey – OGB team Paper, Code 193,136 GeForce RTX 2080 (11GB GPU) May 1, 2020
17 GCN 0.7251 ± 0.0035 0.7921 ± 0.0018 Matthias Fey – OGB team Paper, Code 96,880 GeForce RTX 2080 (11GB GPU) Jul 17, 2020
18 MLP 0.7204 ± 0.0048 0.7706 ± 0.0014 Matthias Fey – OGB team Paper, Code 96,880 GeForce RTX 2080 (11GB GPU) May 1, 2020
19 Node2vec 0.6881 ± 0.0065 0.7007 ± 0.0053 Matthias Fey – OGB team Paper, Code 17,094,000 GeForce RTX 2080 (11GB GPU) May 1, 2020


Leaderboard for ogbn-arxiv

The classification accuracy on the test and validation sets. The higher, the better.

Package: >=1.1.1

Rank Method Test Accuracy Validation Accuracy Contact References #Params Hardware Date
1 AGDN+BoT+self-KD+C&S 0.7431 ± 0.0014 0.7518 ± 0.0009 Chuxiong Sun Paper, Code 1,513,294 Tesla V100 (16GB GPU) Jul 22, 2021
2 AGDN+BoT+self-KD 0.7428 ± 0.0017 0.7526 ± 0.0001 Chuxiong Sun Paper, Code 1,513,294 Tesla V100 (16GB GPU) Jul 22, 2021
3 RevGAT+N.Adj+LabelReuse+SelfKD 0.7426 ± 0.0017 0.7497 ± 0.0008 Guohao Li - DeepGCNs.org Paper, Code 2,098,256 NVIDIA Tesla V100 (32GB GPU) Jun 21, 2021
4 GAT-node2vec + BoT + self-KD 0.7420 ± 0.0004 0.7482 ± 0.0015 Huixuan Chi Paper, Code 1,700,432 Tesla V100 (32GB) Jun 28, 2021
5 GAT+label reuse+self KD 0.7416 ± 0.0008 0.7514 ± 0.0004 Shunli Ren(CMIC@SJTU) Paper, Code 1,441,580 GeForce RTX 1080Ti (11GB GPU) Dec 15, 2020
6 AGDN+BoT 0.7410 ± 0.0015 0.7522 ± 0.0007 Chuxiong Sun Paper, Code 1,513,294 Tesla V100 (16GB GPU) Jul 22, 2021
7 GAT-node2vec + BoT 0.7405 ± 0.0004 0.7482 ± 0.0015 Huixuan Chi Paper, Code 1,700,432 Tesla V100 (32GB) Jun 28, 2021
8 RevGAT+NormAdj+LabelReuse 0.7402 ± 0.0018 0.7501 ± 0.0010 Guohao Li - DeepGCNs.org Paper, Code 2,098,256 NVIDIA Tesla V100 (32GB GPU) Jun 21, 2021
9 GAT+label+reuse+topo loss 0.7399 ± 0.0012 0.7513 ± 0.0009 Mengyang Niu (DAMO DI) Paper, Code 1,441,580 Tesla V100 (16GB) Dec 10, 2020
10 AGDN (GAT-HA+3_heads+labels) 0.7398 ± 0.0009 0.7519 ± 0.0009 Chuxiong Sun Paper, Code 1,508,555 Tesla V100 (32GB GPU) Jan 3, 2021
11 UniMP_v2 0.7397 ± 0.0015 0.7506 ± 0.0009 Weiyue Su (PGL Team) Paper, Code 687,377 Tesla V100 (32GB) Nov 24, 2020
12 GAT(norm.adj.)+label reuse+C&S 0.7395 ± 0.0012 0.7519 ± 0.0008 Yangkun Wang (DGL Team) Paper, Code 1,441,580 p3.8xlarge (15GB GPU) Nov 24, 2020
13 GAT+norm. adj.+label reuse 0.7391 ± 0.0012 0.7516 ± 0.0008 Yangkun Wang (DGL Team) Paper, Code 1,441,580 p3.8xlarge (15GB GPU) Nov 11, 2020
14 GAT + C&S 0.7386 ± 0.0014 0.7484 ± 0.0007 Horace He (Cornell) Paper, Code 1,567,000 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
15 UniMP_large 0.7379 ± 0.0014 0.7475 ± 0.0008 Yunsheng Shi (PGL team) Paper, Code 1,162,515 Tesla V100 (32GB) Sep 25, 2020
16 AGDN (GAT-HA+3_heads) 0.7375 ± 0.0021 0.7483 ± 0.0009 Chuxiong Sun Paper, Code 1,447,115 Tesla V100 (32GB GPU) Jan 3, 2021
17 GAT+FLAG 0.7371 ± 0.0013 0.7496 ± 0.0010 Kezhi Kong Paper, Code 1,628,440 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
18 GAT+norm. adj.+labels 0.7366 ± 0.0011 0.7508 ± 0.0009 Yangkun Wang (DGL Team) Paper, Code 1,441,580 p3.8xlarge (15GB GPU) Oct 29, 2020
19 GAT+norm.adj.+labels 0.7365 ± 0.0011 0.7504 ± 0.0006 Yangkun Wang (DGL Team) Paper, Code 1,628,440 p3.8xlarge (15GB GPU) Sep 17, 2020
20 GCN_res + C&S_v2 0.7313 ± 0.0017 0.7445 ± 0.0011 HuiXuan Chi Paper, Code 155,824 Tesla V100 (32GB) Mar 26, 2021
21 MLP + C&S 0.7312 ± 0.0012 0.7391 ± 0.0015 Horace He (Cornell) Paper, Code 175,656 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
22 UniMP 0.7311 ± 0.0020 0.7450 ± 0.0005 Yunsheng Shi (PGL team) Paper, Code 473,489 Tesla V100 (32GB) Sep 8, 2020
23 GCN+linear+labels 0.7306 ± 0.0024 0.7442 ± 0.0012 Yangkun Wang (DGL Team) Paper, Code 238,632 g4dn.12xlarge, T4 (15GB GPU) Sep 5, 2020
24 GCN_res + C&S 0.7297 ± 0.0022 0.7423 ± 0.0014 HuiXuan Chi Paper, Code 155,824 Tesla T4(16GB) Mar 24, 2021
25 GCN+residual+6 layers 0.7286 ± 0.0016 0.7382 ± 0.0007 Horace He (Cornell) Paper, Code 122,542 GeForce RTX 2080 (11GB GPU) Oct 6, 2020
26 GCN+residual+node2vec 0.7278 ± 0.0013 0.7414 ± 0.0008 Horace He (Cornell) Paper, Code 21,885,098 GeForce RTX 2080 (11GB GPU) Oct 3, 2020
27 GCN_res + 8 layers + FLAG 0.7276 ± 0.0024 0.7389 ± 0.0012 Huixuan Chi Paper, Code 155,824 Tesla T4(16GB) Feb 23, 2021
28 GCNII 0.7274 ± 0.0016 Please tell us Ming Chen Paper, Code 2,148,648 Quadro RTX 8000 (48GB GPU) Jul 7, 2020
29 GCN_res + 8 layers 0.7262 ± 0.0037 0.7369 ± 0.0021 Huixuan Chi Paper, Code 155,824 Tesla T4(16GB) Feb 20, 2021
30 Linear + C&S 0.7222 ± 0.0002 0.7368 ± 0.0004 Horace He Paper, Code 15,400 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
31 EGC-S (100k) 0.7219 ± 0.0016 0.7338 ± 0.0022 Shyam Tailor Paper, Code 100,648 GTX1080Ti/RTX2080Ti Apr 6, 2021
31 GraphSAGE+FLAG 0.7219 ± 0.0021 0.7349 ± 0.0009 Kezhi Kong Paper, Code 218,664 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
31 JKNet (GCN-based) 0.7219 ± 0.0021 0.7335 ± 0.0007 Weiran Huang Paper, Code 89,000 Tesla T4 Aug 26, 2020
32 DeeperGCN+FLAG 0.7214 ± 0.0019 0.7311 ± 0.0009 Kezhi Kong Paper, Code 491,176 NVIDIA Tesla V100 (32GB GPU) Oct 20, 2020
33 DAGNN 0.7209 ± 0.0025 0.7290 ± 0.0011 Meng Liu - DIVE@TAMU Paper, Code 43,857 GeForce RTX 2080 Ti (11GB GPU) Aug 19, 2020
34 GCN+FLAG 0.7204 ± 0.0020 0.7330 ± 0.0010 Kezhi Kong Paper, Code 142,888 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
35 GaAN 0.7197 ± 0.0024 Please tell us Hui Zhong (PGL Team) Paper, Code 1,471,506 NVIDIA Tesla V100 (16GB GPU) Jun 16, 2020
36 EGC-M (100k) 0.7196 ± 0.0023 0.7334 ± 0.0013 Shyam Tailor Paper, Code 99,464 GTX1080Ti/RTX2080Ti Apr 6, 2021
37 SIGN 0.7195 ± 0.0011 0.7323 ± 0.0006 Lingfan Yu (DGL Team) Paper, Code 3,566,128 Tesla T4 (15GB) Nov 5, 2020
38 DeeperGCN 0.7192 ± 0.0016 0.7262 ± 0.0014 Guohao Li - DeepGCNs.org Paper, Code 491,176 NVIDIA Tesla V100 (32GB GPU) Jun 16, 2020
39 GCN 0.7174 ± 0.0029 0.7300 ± 0.0017 Matthias Fey – OGB team Paper, Code 110,120 GeForce RTX 2080 (11GB GPU) May 1, 2020
40 GraphSAGE 0.7149 ± 0.0027 0.7277 ± 0.0016 Matthias Fey – OGB team Paper, Code 218,664 GeForce RTX 2080 (11GB GPU) May 1, 2020
41 Plain Linear + C&S 0.7126 ± 0.0001 0.7300 ± 0.0001 Horace He (Cornell) Paper, Code 5,160 GeForce RTX 2080 (11GB GPU) Oct 27, 2020
42 GraphZoom (Node2vec) 0.7118 ± 0.0018 0.7220 ± 0.0007 Xiuyu Li - GraphZoom Paper, Code 8,963,624 GeForce GTX 1080 Ti (11GB GPU) Jul 2, 2020
43 Node2vec 0.7007 ± 0.0013 0.7129 ± 0.0013 Matthias Fey – OGB team Paper, Code 21,818,792 GeForce RTX 2080 (11GB GPU) May 1, 2020
44 Label Propagation 0.6832 ± 0.0000 0.7014 ± 0.0000 Horace He (Cornell) Paper, Code 0 GeForce RTX 2080 (11GB GPU) Oct 2, 2020
45 CoLinkDistMLP 0.5638 ± 0.0016 0.5807 ± 0.0011 Yi Luo (UESTC) Paper, Code 120,912 Geforce GTX 1080 Ti (11GB GPU) Jun 17, 2021
46 MLP+FLAG 0.5602 ± 0.0019 0.5817 ± 0.0011 Kezhi Kong Paper, Code 110,120 GeForce RTX 2080 Ti (11GB GPU) Oct 20, 2020
47 MLP 0.5550 ± 0.0023 0.5765 ± 0.0012 Matthias Fey – OGB team Paper, Code 110,120 GeForce RTX 2080 (11GB GPU) May 1, 2020


Leaderboard for ogbn-papers100M

The classification accuracy on the test and validation sets. The higher, the better.

Package: >=1.2.0

Rank Method Test Accuracy Validation Accuracy Contact References #Params Hardware Date
1 SAGN+SLE (4 stages) 0.6830 ± 0.0008 0.7163 ± 0.0007 Chuxiong Sun (CTRI) Paper, Code 8,556,888 Tesla V100 (16GB GPU) Sep 21, 2021
2 GAMLP+RLU 0.6825 ± 0.0011 0.7159 ± 0.0005 Wentao Zhang (PKU Tencent Joint Lab) Paper, Code 16,308,751 Tesla V100 (32GB) Aug 19, 2021
3 FSGNN 0.6807 ± 0.0006 0.7175 ± 0.0007 Sunil Kumar Maurya (TokyoTech, AIST) Paper, Code 16,453,301 NVIDIA V100 (16GB) Sep 16, 2021
4 SAGN+SLE 0.6800 ± 0.0015 0.7131 ± 0.0010 Chuxiong Sun Paper, Code 8,556,888 Tesla V100 (16GB GPU) Apr 19, 2021
5 GAMLP 0.6771 ± 0.0020 0.7117 ± 0.0014 Wentao Zhang (PKU Tencent Joint Lab) Paper, Code 16,308,751 Tesla V100 (32GB) Aug 22, 2021
6 TransformerConv 0.6736 ± 0.0010 0.7172 ± 0.0005 Xiaonan Song (NVIDIA SAE China team) Paper, Code 883,378 NVIDIA DGX-2 (16*32GB GPUs) Mar 4, 2021
7 GraphSAGE_res_incep 0.6706 ± 0.0017 0.7032 ± 0.0011 Mengyang Niu (DAMO DI) Paper, Code 5,755,172 Tesla V100 (16GB) Feb 28, 2021
8 SAGN 0.6675 ± 0.0084 0.7034 ± 0.0099 Chuxiong Sun Paper, Code 6,098,092 Tesla V100 (16GB GPU) Apr 19, 2021
9 SIGN-XL 0.6606 ± 0.0019 0.6984 ± 0.0006 Fabrizio Frasca Paper, Code 7,180,460 NVIDIA K80 GPU (12GB GPU) Nov 4, 2020
10 SIGN 0.6568 ± 0.0006 0.6932 ± 0.0006 Emanuele Rossi Paper, Code 1,008,812 NVIDIA K80 GPU (12GB GPU) Nov 4, 2020
11 SGC 0.6329 ± 0.0019 0.6648 ± 0.0020 Weihua Hu – OGB team Paper, Code 144,044 Xeon E7-8890x (1.5TB CPU) Jun 10, 2020
12 Node2vec 0.5560 ± 0.0023 0.5807 ± 0.0028 Weihua Hu – OGB team Paper, Code 14,215,818,412 Xeon E7-8890x (1.5TB CPU) Jun 26, 2020
13 MLP 0.4724 ± 0.0031 0.4960 ± 0.0029 Weihua Hu – OGB team Paper, Code 144,044 Xeon E7-8890x (1.5TB CPU) Jun 10, 2020


Leaderboard for ogbn-mag

The classification accuracy on the test and validation sets. The higher, the better.

Package: >=1.2.1

Rank Method Test Accuracy Validation Accuracy Contact References #Params Hardware Date
1 NARS-GAMLP+RLU 0.5590 ± 0.0027 0.5702 ± 0.0041 Wentao Zhang (PKU Tencent Joint Lab) Paper, Code 6,734,882 Tesla V100 (32GB) Aug 19, 2021
2 NARS_SAGN+SLE 0.5440 ± 0.0015 0.5591 ± 0.0017 Chuxiong Sun Paper, Code 3,846,330 Tesla V100 (16GB GPU) Jun 29, 2021
3 NARS-GAMLP 0.5396 ± 0.0018 0.5548 ± 0.0008 Wentao Zhang (PKU Tencent Joint Lab) Paper, Code 6,734,882 Tesla V100 (32GB) Aug 22, 2021
4 NARS 0.5240 ± 0.0016 0.5372 ± 0.0009 Lingfan Yu Paper, Code 4,130,149 Tesla T4 (15GB) Feb 18, 2021
5 R-HGNN 0.5204 ± 0.0026 0.5361 ± 0.0022 Le Yu Paper, Code 5,638,053 NVIDIA Tesla T4 (15 GB) May 24, 2021
6 R-GSN + metapath2vec 0.5109 ± 0.0038 0.5295 ± 0.0042 Huixuan Chi Paper, Code 309,777,252 Tesla V100 (32GB) Jun 30, 2021
7 HGConv 0.5045 ± 0.0017 0.5300 ± 0.0018 Le Yu Paper, Code 2,850,405 NVIDIA TITAN Xp (12GB) Feb 14, 2021
8 R-GSN 0.5032 ± 0.0037 0.5182 ± 0.0041 Xinliang Wu Paper, Code 154,373,028 GeForce GTX 1080Ti Jan 29, 2021
9 HGT (TransE embs) 0.4982 ± 0.0013 0.5124 ± 0.0046 Lingfan Yu Paper, Code 26,877,657 Tesla T4 (15GB) Feb 17, 2021
10 GraphSAINT + metapath2vec 0.4966 ± 0.0022 0.5066 ± 0.0017 HuiXuan Chi Paper, Code 309,764,724 Tesla V100 (32GB) Apr 9, 2021
11 HGT (LADIES Sample) 0.4927 ± 0.0061 0.4989 ± 0.0047 Ziniu Hu Paper, Code 21,173,389 Tesla K80 (12GB GPU) Jan 26, 2021
12 GraphSAINT (R-GCN aggr) 0.4751 ± 0.0022 0.4837 ± 0.0026 Matthias Fey – OGB team Paper, Code 154,366,772 GeForce RTX 2080 (11GB GPU) Jun 26, 2020
13 R-GCN+FLAG 0.4737 ± 0.0048 0.4835 ± 0.0036 Kezhi Kong Paper, Code 154,366,772 GeForce RTX 2080 Ti (11GB GPU) Oct 21, 2020
14 NeighborSampling (R-GCN aggr) 0.4678 ± 0.0067 0.4761 ± 0.0068 Matthias Fey – OGB team Paper, Code 154,366,772 GeForce RTX 2080 (11GB GPU) Jun 26, 2020
15 SIGN 0.4046 ± 0.0012 0.4068 ± 0.0010 Lingfan Yu (DGL Team) Paper, Code 3,724,645 Tesla T4 (15GB GPU) Nov 5, 2020
16 Full-batch R-GCN 0.3977 ± 0.0046 0.4084 ± 0.0041 Matthias Fey – OGB team Paper, Code 154,366,772 Quadro RTX 8000 (48GB GPU) Jun 26, 2020
17 ClusterGCN (R-GCN aggr) 0.3732 ± 0.0037 0.3840 ± 0.0031 Matthias Fey – OGB team Paper, Code 154,366,772 GeForce RTX 2080 (11GB GPU) Jun 26, 2020
18 MetaPath2vec 0.3544 ± 0.0036 0.3506 ± 0.0017 Matthias Fey – OGB team Paper, Code 94,479,069 GeForce RTX 2080 (11GB GPU) Jun 26, 2020
19 CoLinkDistMLP 0.2761 ± 0.0018 0.2646 ± 0.0013 Yi Luo (UESTC) Paper, Code 278,202 Geforce GTX 1080 Ti (11GB GPU) Jun 17, 2021
20 MLP 0.2692 ± 0.0026 0.2626 ± 0.0016 Matthias Fey – OGB team Paper, Code 188,509 GeForce RTX 2080 (11GB GPU) Jun 26, 2020