Leaderboards for Link Property Prediction

Check leaderboards for
- ogbl-ppa
- ogbl-collab
- ogbl-ddi
- ogbl-citation2
- ogbl-wikikg2
- ogbl-biokg
- ogbl-vessel

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 ogbl-ppa

The Hits@100 score on the test and validation sets. The higher, the better.

Package: >=1.1.1

Rank Method Ext. data Test Hits@100 Validation Hits@100 Contact References #Params Hardware Date
1 NGNN + SEAL No 0.5971 ± 0.0245 0.5995 ± 0.0205 Yakun Song(DGL) Paper, Code 735,426 Tesla T4(16GB) Sep 21, 2022
2 RA+Edge Proposal Set No 0.5324 ± 0.0000 0.5142 ± 0.0000 Qian Huang (Stanford) Paper, Code 0 GeForce RTX 2080 Ti (11GB GPU) Oct 5, 2021
3 MLP+CN&RA&AA No 0.5062 ± 0.0035 0.4906 ± 0.0029 Shitao Lu Paper, Code 163,330 Geforce GTX 1080 Ti (11GB) Aug 9, 2021
4 Resource Allocation No 0.4933 ± 0.0000 0.4722 ± 0.0000 Shen Fan(Alibaba Group) Paper, Code 0 Tesla-V100(32GB GPU) Jul 5, 2021
5 SEAL No 0.4880 ± 0.0316 0.5125 ± 0.0252 Muhan Zhang Paper, Code 709,122 GeForce RTX 2080S (8GB GPU) Oct 14, 2020
6 AGDN No 0.4123 ± 0.0159 0.4332 ± 0.0092 Chuxiong Sun Paper, Code 36,904,259 Tesla V100 (16GB GPU) Sep 2, 2022
7 NGNN + GraphSAGE No 0.4005 ± 0.0138 0.4058 ± 0.0123 Yakun Song(DGL) Paper, Code 556,033 Tesla-V100(16GB GPU) Aug 16, 2022
8 NGNN + GCN No 0.3683 ± 0.0099 0.3834 ± 0.0082 Yakun Song(DGL) Paper, Code 410,113 Tesla-V100(16GB GPU) Aug 16, 2022
9 Adamic Adar No 0.3245 ± 0.0000 0.3268 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
10 Matrix Factorization No 0.3229 ± 0.0094 0.3228 ± 0.0428 Matthias Fey – OGB team Paper, Code 147,662,849 GeForce RTX 2080 (11GB GPU) May 1, 2020
11 DeepWalk No 0.2888 ± 0.0153 Please tell us Hao Xiong (DGL) Paper, Code 150,138,741 g4dn.2xlarge, T4 (15GB GPU) Jul 23, 2020
12 Common Neighbor No 0.2765 ± 0.0000 0.2823 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
13 DeepWalk No 0.2302 ± 0.0163 Please tell us Hao Xiong (DGL) Paper, Code 150,138,741 g4dn.2xlarge, T4 (15GB GPU) Jun 30, 2020
14 Node2vec No 0.2226 ± 0.0083 0.2253 ± 0.0088 Matthias Fey – OGB team Paper, Code 73,878,913 GeForce RTX 2080 (11GB GPU) May 1, 2020
15 GCN No 0.1867 ± 0.0132 0.1845 ± 0.0140 Matthias Fey – OGB team Paper, Code 278,529 GeForce RTX 2080 (11GB GPU) Jun 25, 2020
16 GraphSAGE No 0.1655 ± 0.0240 0.1724 ± 0.0264 Matthias Fey – OGB team Paper, Code 424,449 GeForce RTX 2080 (11GB GPU) Jun 25, 2020


Leaderboard for ogbl-collab

The Hits@50 score on the test and validation sets. The higher, the better.

Package: >=1.2.1

Rank Method Ext. data Test Hits@50 Validation Hits@50 Contact References #Params Hardware Date
1 PLNLP + SIGN No 0.7087 ± 0.0033 1.0000 ± 0.0000 Liang Yao (Tencent) Paper, Code 34,980,864 Tesla-P40 (24G GPU) Apr 7, 2022
2 PLNLP (random walk aug.) No 0.7059 ± 0.0029 1.0000 ± 0.0000 Zhitao Wang (WeChat@Tencent) Paper, Code 34,980,864 Tesla-P40 (24G GPU) Dec 21, 2021
3 HOP-REC No 0.7012 ± 0.0016 1.0000 ± 0.0000 Bo-Yu Lin (CFDA & CLIP Labs) Paper, Code 30,191,104 CPU Oct 21, 2021
4 PLNLP+ LRGA No 0.6909 ± 0.0055 1.0000 ± 0.0000 Hao Xu Paper, Code 35,200,656 NVIDIA Tesla V100 (32GB GPU) Jun 26, 2022
5 PLNLP (val as input) No 0.6872 ± 0.0052 1.0000 ± 0.0000 Zhitao Wang (WeChat@Tencent) Paper, Code 35,112,192 Tesla-P40 (24G GPU) Dec 7, 2021
6 Adamic Adar+Edge Proposal Set No 0.6548 ± 0.0000 0.9735 ± 0.0000 Qian Huang (Cornell University) Paper, Code 0 GeForce RTX 2080 Ti (11GB GPU) Jul 13, 2021
7 SEAL-nofeat (val as input) No 0.6474 ± 0.0043 0.6495 ± 0.0043 Muhan Zhang Paper, Code 501,570 NVIDIA Tesla V100 (32GB GPU) Jun 16, 2021
8 Adamic Adar No 0.6417 ± 0.0000 0.6349 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
9 Common Neighbor No 0.6137 ± 0.0000 0.6036 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
10 SEAL-nofeat No 0.5471 ± 0.0049 0.6495 ± 0.0043 Muhan Zhang Paper, Code 501,570 NVIDIA Tesla V100 (32GB GPU) Jun 16, 2021
11 GraphSAGE (val as input) No 0.5463 ± 0.0112 0.5688 ± 0.0077 Matthias Fey – OGB team Paper, Code 460,289 GeForce RTX 2080 (11GB GPU) Oct 19, 2020
12 NGNN + GraphSAGE No 0.5359 ± 0.0056 0.6281 ± 0.0046 Yakun Song(DGL) Paper, Code 591,873 Tesla-V100(16GB GPU) Aug 16, 2022
13 NGNN + GCN No 0.5348 ± 0.0040 0.6273 ± 0.0040 Yakun Song(DGL) Paper, Code 428,033 Tesla-V100(16GB GPU) Aug 16, 2022
14 DeeperGCN No 0.5273 ± 0.0047 0.6187 ± 0.0045 Guohao Li - DeepGCNs.org Paper, Code 117,383 NVIDIA Tesla V100 (32GB GPU) Oct 21, 2020
15 LRGA + GCN No 0.5221 ± 0.0072 0.6088 ± 0.0059 Omri Puny Paper, Code 1,069,489 Tesla P100 (16GB GPU) Aug 5, 2020
16 DeepWalk No 0.5037 ± 0.0034 Please tell us Hao Xiong (DGL) Paper, Code 61,390,187 g4dn.2xlarge, T4 (15GB GPU) Jun 30, 2020
17 Node2vec No 0.4888 ± 0.0054 0.5703 ± 0.0052 Matthias Fey – OGB team Paper, Code 30,322,945 GeForce RTX 2080 (11GB GPU) Jun 22, 2020
18 GraphSAGE No 0.4810 ± 0.0081 0.5688 ± 0.0077 Matthias Fey – OGB team Paper, Code 460,289 GeForce RTX 2080 (11GB GPU) Jun 24, 2020
19 GCN (val as input) No 0.4714 ± 0.0145 0.5263 ± 0.0115 Matthias Fey – OGB team Paper, Code 296,449 GeForce RTX 2080 (11GB GPU) Oct 19, 2020
20 GCN No 0.4475 ± 0.0107 0.5263 ± 0.0115 Matthias Fey – OGB team Paper, Code 296,449 GeForce RTX 2080 (11GB GPU) Jun 24, 2020
21 Matrix Factorization No 0.3886 ± 0.0029 0.4896 ± 0.0029 Matthias Fey – OGB team Paper, Code 60,514,049 GeForce RTX 2080 (11GB GPU) Jun 22, 2020


Leaderboard for ogbl-ddi

The Hits@20 score on the test and validation sets. The higher, the better.

Package: >=1.2.1

Rank Method Ext. data Test Hits@20 Validation Hits@20 Contact References #Params Hardware Date
1 AGDN (AUC loss) No 0.9538 ± 0.0094 0.8943 ± 0.0281 Chuxiong Sun Paper, Code 3,506,691 Tesla V100 (16GB GPU) Sep 2, 2022
2 PSG No 0.9284 ± 0.0047 0.8306 ± 0.0134 Jingsong Lv(Zhuque@ZhejiangLab) Paper, Code 3,499,009 Tesla V100(32G GPU) Aug 12, 2022
3 PLNLP No 0.9088 ± 0.0313 0.8242 ± 0.0253 Zhitao Wang (WeChat@Tencent) Paper, Code 3,497,473 Tesla-P40(24GB GPU) Dec 7, 2021
4 GDNN No 0.9037 ± 0.0193 0.8599 ± 0.0286 Haifan Zhou(Ainnocence) Paper, Code 3,761,665 A40-NVLink(48GB) Aug 30, 2022
5 GraphSAGE + Edge Attr No 0.8781 ± 0.0474 0.8044 ± 0.0404 Jing Yang Paper, Code 3,761,665 Tesla V100 (32GB) Aug 9, 2021
6 CFLP (w/ JKNet) No 0.8608 ± 0.0198 0.8405 ± 0.0284 Tong Zhao (University of Notre Dame) Paper, Code 837,635 GeForce RTX 2080 Ti (11GB GPU) Nov 17, 2021
6 CFLP (w/ JKNet) No 0.8608 ± 0.0198 0.8405 ± 0.0284 Tong Zhao Paper, Code 837,635 GeForce RTX 2080 Ti (11GB GPU) Nov 17, 2021
7 GraphSAGE+anchor distance No 0.8239 ± 0.0437 0.8206 ± 0.0298 Boning Li (SJTU) Paper, Code 3,760,134 Tesla V100 (16GB GPU) May 20, 2021
8 DEA + JKNet No 0.7672 ± 0.0265 0.6713 ± 0.0071 Yichen Yang Paper, Code 1,763,329 Tesla T4 (16GB GPU) Mar 21, 2021
9 GraphSAGE+Edge Proposal Set No 0.7495 ± 0.0317 0.6696 ± 0.0198 Qian Huang (Cornell University) Paper, Code 1,421,057 GeForce RTX 2080 Ti (11GB GPU) Jul 21, 2021
10 LRGA+GCN(Node2Vec+Augment) No 0.7385 ± 0.0871 0.7225 ± 0.0047 Chuanqi Chen Paper, Code 10,235,281 Tesla V100 (32GB) Mar 21, 2021
11 MAD Learning No 0.6781 ± 0.0294 0.7010 ± 0.0082 Yi Luo Paper, Code 1,228,897 Geforce GTX 1080 Ti (11GB GPU) Feb 10, 2021
12 LRGA + GCN No 0.6230 ± 0.0912 0.6675 ± 0.0058 Omri Puny Paper, Code 1,576,081 Tesla P100 (16GB GPU) Aug 5, 2020
13 GCN+JKNet No 0.6056 ± 0.0869 0.6776 ± 0.0095 Horace He (Cornell) Paper, Code 1,421,571 Geforce GTX 1080 Ti (11GB GPU) Sep 15, 2020
14 NGNN + GraphSAGE No 0.5770 ± 0.1523 0.7323 ± 0.0040 Yakun Song(DGL) Paper, Code 1,618,433 Tesla-V100(16GB GPU) Aug 16, 2022
15 NGNN + GCN No 0.5483 ± 0.1581 0.7121 ± 0.0038 Yakun Song(DGL) Paper, Code 1,487,361 Tesla-V100(16GB GPU) Aug 16, 2022
16 GraphSAGE No 0.5390 ± 0.0474 0.6262 ± 0.0037 Matthias Fey – OGB team Paper, Code 1,421,057 GeForce RTX 2080 (11GB GPU) Jun 25, 2020
17 GCN No 0.3707 ± 0.0507 0.5550 ± 0.0208 Matthias Fey – OGB team Paper, Code 1,289,985 GeForce RTX 2080 (11GB GPU) Jun 25, 2020
18 SEAL No 0.3056 ± 0.0386 0.2849 ± 0.0269 Muhan Zhang Paper, Code 531,138 GeForce RTX 2080S (8GB GPU) Oct 14, 2020
19 DeepWalk No 0.2642 ± 0.0610 Please tell us Hao Xiong (DGL) Paper, Code 11,543,913 g4dn.2xlarge, T4 (15GB GPU) Jul 23, 2020
20 Node2vec No 0.2326 ± 0.0209 0.3292 ± 0.0121 Matthias Fey – OGB team Paper, Code 645,249 GeForce RTX 2080 (11GB GPU) Jun 22, 2020
21 DeepWalk No 0.2246 ± 0.0290 Please tell us Hao Xiong (DGL) Paper, Code 1,543,913 g4dn.2xlarge, T4 (15GB GPU) Jun 30, 2020
22 Adamic Adar No 0.1861 ± 0.0000 0.0966 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
23 Common Neighbor No 0.1773 ± 0.0000 0.0947 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
24 Matrix Factorization No 0.1368 ± 0.0475 0.3370 ± 0.0264 Matthias Fey – OGB team Paper, Code 1,224,193 GeForce RTX 2080 (11GB GPU) Jun 10, 2020


Leaderboard for ogbl-citation2

The MRR score on the test and validation sets. The higher, the better.

Package: >=1.2.4

Deprecated ogbl-citation leaderboard can be found here.
Rank Method Ext. data Test MRR Validation MRR Contact References #Params Hardware Date
1 SUREL No 0.8883 ± 0.0018 0.8891 ± 0.0021 Haoteng Yin (Purdue University) Paper, Code 79,617 Quadro RTX 6000 Mar 18, 2022
2 SEAL No 0.8767 ± 0.0032 0.8757 ± 0.0031 Muhan Zhang Paper, Code 260,802 Tesla V100 (32GB GPU) Feb 12, 2021
3 AGDN w/GraphSAINT No 0.8549 ± 0.0029 0.8556 ± 0.0033 Chuxiong Sun Paper, Code 306,716 Tesla V100 (16GB GPU) Sep 2, 2022
4 PLNLP No 0.8492 ± 0.0029 0.8490 ± 0.0031 Zhitao Wang (WeChat@Tencent) Paper, Code 146,514,551 Tesla-V100 (32G GPU) Dec 7, 2021
5 Full-batch GCN No 0.8474 ± 0.0021 0.8479 ± 0.0023 Matthias Fey – OGB team Paper, Code 296,449 Quadro RTX 8000 (48GB GPU) Jan 4, 2021
6 HPE - Pre-trained Initialized No 0.8432 ± 0.0003 0.8422 ± 0.0002 Chi-Hung Chang (CFDA & CLIP Labs) Paper, Code 749,558,528 CPU Dec 7, 2021
7 Full-batch GraphSAGE No 0.8260 ± 0.0036 0.8263 ± 0.0033 Matthias Fey – OGB team Paper, Code 460,289 Quadro RTX 8000 (48GB GPU) Jan 4, 2021
8 NeighborSampling (SAGE aggr) No 0.8044 ± 0.0010 0.8054 ± 0.0009 Matthias Fey – OGB team Paper, Code 460,289 GeForce RTX 2080 (11GB GPU) Jan 4, 2021
9 ClusterGCN (GCN aggr) No 0.8004 ± 0.0025 0.7994 ± 0.0025 Matthias Fey – OGB team Paper, Code 296,449 GeForce RTX 2080 (11GB GPU) Jan 4, 2021
10 GraphSAINT (GCN aggr) No 0.7985 ± 0.0040 0.7975 ± 0.0039 Matthias Fey – OGB team Paper, Code 296,449 GeForce RTX 2080 (11GB GPU) Jan 4, 2021
11 Node2vec No 0.6141 ± 0.0011 0.6124 ± 0.0011 Matthias Fey – OGB team Paper, Code 374,911,105 GeForce RTX 2080 (11GB GPU) Jan 4, 2021
12 Adamic Adar No 0.5189 ± 0.0000 0.5167 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021
13 Matrix Factorization No 0.5186 ± 0.0443 0.5181 ± 0.0436 Matthias Fey – OGB team Paper, Code 281,113,505 GeForce RTX 2080 (11GB GPU) Jan 4, 2021
14 Common Neighbor No 0.5147 ± 0.0000 0.5119 ± 0.0000 Muhan Zhang Paper, Code 0 GeForce RTX 2080S (8GB GPU) Feb 12, 2021


Leaderboard for ogbl-wikikg2

The MRR score on the test and validation sets. The higher, the better.

Package: >=1.2.4

Deprecated ogbl-wikikg leaderboard can be found here.
Rank Method Ext. data Test MRR Validation MRR Contact References #Params Hardware Date
1 StarGraph + TripleRE No 0.7201 ± 0.0011 0.7288 ± 0.0008 Hongzhu Li (360AI) Paper, Code 86,762,146 Tesla A100(40GB) May 30, 2022
2 TranS No 0.6939 ± 0.0011 0.7058 ± 0.0018 Xuanyu Zhang (DXM AI) Paper, Code 38,430,804 Tesla V100 (16GB) Apr 19, 2022
3 TranS No 0.6882 ± 0.0019 0.6988 ± 0.0006 Xuanyu Zhang (DXM AI) Paper, Code 19,215,402 Tesla V100 (16GB) Apr 28, 2022
4 TripleRE + NodePiece No 0.6866 ± 0.0014 0.6955 ± 0.0008 Long Yu (360AI) Paper, Code 36,421,802 Tesla A100(40GB) Feb 24, 2022
5 InterHT No 0.6779 ± 0.0018 0.6893 ± 0.0015 Baoxin Wang (HFL) Paper, Code 19,215,402 Tesla V100 (32GB) Feb 10, 2022
6 TripleRE + NodePiece No 0.6582 ± 0.0020 0.6616 ± 0.0018 Long Yu (360AI) Paper, Code 7,289,002 Tesla A100(40GB) Dec 25, 2021
7 ComplEx-RP (50dim) No 0.6392 ± 0.0045 0.6561 ± 0.0070 Yihong Chen (UCL NLP & FAIR London) Paper, Code 250,167,400 Tesla V100 (32GB) Nov 23, 2021
8 tripleRE No 0.5794 ± 0.0020 0.6045 ± 0.0024 Long Yu (360AI) Paper, Code 500,763,337 Tesla P40(24GB) Dec 17, 2021
9 NodePiece + AutoSF No 0.5703 ± 0.0035 0.5806 ± 0.0047 Mikhail Galkin (Mila) Paper, Code 6,860,602 Tesla V100 (32 GB) Jul 17, 2021
10 Rot-Pro No 0.5602 ± 0.0016 0.5740 ± 0.0008 Tengwei Song(BUAA-NLSDE) Paper, Code 1,000,669,602 Tesla V100(32GB) Sep 5, 2022
11 AutoSF No 0.5458 ± 0.0052 0.5510 ± 0.0063 Yongqi Zhang (4Paradigm) Paper, Code 500,227,800 Quadro RTX 8000 (45GB GPU) Apr 2, 2021
12 PairRE (200dim) No 0.5208 ± 0.0027 0.5423 ± 0.0020 Linlin Chao Paper, Code 500,334,800 Tesla P100 (16GB GPU) Jan 28, 2021
13 RotatE (250dim) No 0.4332 ± 0.0025 0.4353 ± 0.0028 Hongyu Ren – OGB team Paper, Code 1,250,435,750 Quadro RTX 8000 (45GB GPU) Jan 23, 2021
14 TransE (500dim) No 0.4256 ± 0.0030 0.4272 ± 0.0030 Hongyu Ren – OGB team Paper, Code 1,250,569,500 Quadro RTX 8000 (45GB GPU) Jan 23, 2021
15 ComplEx (250dim) No 0.4027 ± 0.0027 0.3759 ± 0.0016 Hongyu Ren – OGB team Paper, Code 1,250,569,500 Quadro RTX 8000 (45GB GPU) Jan 23, 2021
16 ComplEx (50dim) No 0.3804 ± 0.0022 0.3534 ± 0.0052 Hongyu Ren – OGB team Paper, Code 250,113,900 GeForce RTX 2080 (11GB GPU) Jan 23, 2021
17 DistMult (500dim) No 0.3729 ± 0.0045 0.3506 ± 0.0042 Hongyu Ren – OGB team Paper, Code 1,250,569,500 Quadro RTX 8000 (45GB GPU) Jan 23, 2021
18 DistMult (100dim) No 0.3447 ± 0.0082 0.3150 ± 0.0088 Hongyu Ren – OGB team Paper, Code 250,113,900 GeForce RTX 2080 (11GB GPU) Jan 23, 2021
19 TransE (100dim) No 0.2622 ± 0.0045 0.2465 ± 0.0020 Hongyu Ren – OGB team Paper, Code 250,113,900 GeForce RTX 2080 (11GB GPU) Jan 23, 2021
20 RotatE (50dim) No 0.2530 ± 0.0034 0.2250 ± 0.0035 Hongyu Ren – OGB team Paper, Code 250,087,150 GeForce RTX 2080 (11GB GPU) Jan 23, 2021


Leaderboard for ogbl-biokg

The MRR score on the test and validation sets. The higher, the better.

Package: >=1.2.0

Rank Method Ext. data Test MRR Validation MRR Contact References #Params Hardware Date
1 AutoBLM-KGBench No 0.8536 ± 0.0003 0.8548 ± 0.0002 Yongqi Zhang (4Paradigm && EE Tsinghua) Paper, Code 192,047,104 Tesla A100 (80G) Jun 17, 2022
2 ComplEx-RP (1000dim) No 0.8492 ± 0.0002 0.8497 ± 0.0002 Yihong Chen (UCL NLP & FAIR London) Paper, Code 187,750,000 Tesla V100 (16GB) Nov 23, 2021
3 TripleRE No 0.8348 ± 0.0007 0.8360 ± 0.0006 LongYu(360AI) Paper, Code 469,630,002 Tesla A100(40GB) Jan 28, 2022
4 AutoSF No 0.8309 ± 0.0008 0.8317 ± 0.0007 Yongqi Zhang (4Paradigm) Paper, Code 93,824,000 GeForce RTX 2080 (11GB GPU) Apr 2, 2021
5 PairRE No 0.8164 ± 0.0005 0.8172 ± 0.0005 LinlinChao (AntGroup KG&NLP) Paper, Code 187,750,000 Tesla P100 (16GB GPU) Nov 9, 2020
6 ComplEx No 0.8095 ± 0.0007 0.8105 ± 0.0001 Hongyu Ren – OGB team Paper, Code 187,648,000 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
7 DistMult No 0.8043 ± 0.0003 0.8055 ± 0.0003 Hongyu Ren – OGB team Paper, Code 187,648,000 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
8 RotatE No 0.7989 ± 0.0004 0.7997 ± 0.0002 Hongyu Ren – OGB team Paper, Code 187,597,000 GeForce RTX 2080 (11GB GPU) Jun 10, 2020
9 TransE No 0.7452 ± 0.0004 0.7456 ± 0.0003 Hongyu Ren – OGB team Paper, Code 187,648,000 GeForce RTX 2080 (11GB GPU) Jun 10, 2020


Leaderboard for ogbl-vessel

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

Package: >=1.3.4

Rank Method Ext. data Test ROC-AUC Validation ROC-AUC Contact References #Params Hardware Date
1 SEAL (no-xfeat) No 0.8077 ± 0.0001 0.8073 ± 0.0001 Huixuan Chi (Meituan) Paper, Code 43,714 Tesla V100 (32GB) Aug 28, 2022
2 SEAL No 0.8050 ± 0.0021 0.8053 ± 0.0022 Julian McGinnis (TUM) Paper, Code 172,610 Quadro RTX 8000 Ti (48GB GPU) Aug 24, 2022
3 LRGA No 0.5415 ± 0.0437 0.5418 ± 0.0439 Yuanchen Bei (Meituan) Paper, Code 26,577 Tesla A100 (80GB) Aug 31, 2022
4 SGC No 0.5009 ± 0.0011 0.5010 ± 0.0011 Hao Xu(Meituan) Paper, Code 897 Tesla V100(32GB) Aug 24, 2022
5 SAGE+JKNet No 0.5001 ± 0.0007 0.5014 ± 0.0004 Huixuan Chi (Meituan) Paper, Code 273 Tesla V100 (32GB) Aug 22, 2022
6 Matrix Factorization No 0.4997 ± 0.0005 0.4999 ± 0.0006 Julian McGinnis (TUM) Paper, Code 8,641 Quadro RTX 8000Ti (48GB GPU) Aug 18, 2022
7 GraphSAGE No 0.4989 ± 0.0678 0.4993 ± 0.0676 Julian McGinnis (TUM) Paper, Code 396,289 Quadro RTX 8000 Ti (48GB GPU) Aug 20, 2022
8 GCN w/Node2Vec No 0.4954 ± 0.0057 0.4960 ± 0.0061 Julian McGinnis (TUM) Paper, Code 226,744,513 Quadro RTX 8000 Ti (48GB GPU) Aug 21, 2022
9 Adamic Adar No 0.4849 ± 0.0000 0.4849 ± 0.0000 Julian McGinnis (TUM) Paper, Code 0 Quadro RTX 8000 Ti (48GB GPU) Aug 20, 2022
9 Common Neighbors No 0.4849 ± 0.0000 0.4850 ± 0.0000 Julian McGinnis (TUM) Paper, Code 0 Quadro RTX 8000 Ti (48GB GPU) Aug 20, 2022
10 MLP No 0.4794 ± 0.0133 0.4801 ± 0.0132 Julian McGinnis (TUM) Paper, Code 1,037,577 Quadro RTX 8000 Ti (48GB GPU) Aug 19, 2022
11 GraphSAGE w/Node2VEc No 0.4735 ± 0.0136 0.4736 ± 0.0136 Julian McGinnis (TUM) Paper, Code 226,892,737 Quadro RTX 8000 Ti (48GB GPU) Aug 21, 2022
12 GCN No 0.4353 ± 0.0961 0.4349 ± 0.0961 Julian McGinnis (TUM) Paper, Code 396,289 Quadro RTX 8000 Ti (48GB GPU) Aug 20, 2022