test-dev_master.csv

time,unique_identifier,dataset,method,ensemble,approved,test_performance,val_performance,team,affiliations,contact_name,contact_email,googlegroup,package,code,paper,params,hyper-parameters,hardware_gputpu,hardware_cpu,training_time,test_time
9/8/2021,local0,MAG240M,MLP,No,Yes,0.5276,0.5267,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,473241.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local1,MAG240M,LabelProp,No,Yes,0.5638,0.5844,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,0.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local2,MAG240M,SGC,No,Yes,0.653,0.6582,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,736921.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local3,MAG240M,SIGN,No,Yes,0.6603,0.6664,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,3758233.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local4,MAG240M,MLP+C&S,No,Yes,0.6605,0.6698,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,473241.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local5,MAG240M,GraphSAGE (NS),No,Yes,0.6621,0.6679,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,4884633.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local6,MAG240M,GAT (NS),No,Yes,0.6671,0.6715,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,4890777.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local7,MAG240M,R-GraphSAGE (NS),No,Yes,0.6878,0.6986,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,matthias.fey@tu-dortmund.de,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,12234905.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local8,PCQM4Mv2,MLP-Fingerprint,No,Yes,0.176,0.1753,OGB-LSC,Stanford,Weihua Hu,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2,https://openreview.net/pdf?id=qkcLxoC52kL,16107201.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local9,PCQM4Mv2,GCN,No,Yes,0.1398,0.1379,OGB-LSC,Stanford,Weihua Hu,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2,https://openreview.net/pdf?id=qkcLxoC52kL,1955401.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local10,PCQM4Mv2,GCN-virtual,No,Yes,0.1152,0.1153,OGB-LSC,Stanford,Weihua Hu,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2,https://openreview.net/pdf?id=qkcLxoC52kL,4850401.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,Local11,PCQM4Mv2,GIN,No,Yes,0.1218,0.1195,OGB-LSC,Stanford,Weihua Hu,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2,https://openreview.net/pdf?id=qkcLxoC52kL,3761406.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,61399a1956814,PCQM4Mv2,GIN-virtual,No,Yes,0.10843631,0.1083,OGB-LSC,Stanford,Weihua Hu,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2,https://openreview.net/pdf?id=qkcLxoC52kL,6656406.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory).,24 hours,1 minute
9/8/2021,6139a59eb7974,WikiKG90Mv2,Test submission,No,No,0.292595953,0.2342,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/wikikg90m-v2,https://openreview.net/pdf?id=qkcLxoC52kL,66564063213.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,1 minute
9/8/2021,6139a5e7575ba,MAG240M,R-GAT (NS),No,Yes,0.693138991,0.7002,OGB-LSC,TU Dortmund,Matthias Fey,matthias.fey@tu-dortmund.de,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb/tree/master/examples/lsc/mag240m,https://openreview.net/pdf?id=qkcLxoC52kL,12255385.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,1 minute
10/12/2021,Local11,WikiKG90Mv2,TransE-Shallow,No,Yes,0.0824,0.1103,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,hongyu.r.ren@gmail.com,1.3.2,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,18246399400.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 Quadro RTX 8000 (45GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,4 hours
10/12/2021,Local12,WikiKG90Mv2,TransE-MPNet,No,Yes,0.086,0.1128,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,hongyu.r.ren@gmail.com,1.3.2,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,307600.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 Quadro RTX 8000 (45GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,4 hours
10/12/2021,Local13,WikiKG90Mv2,TransE-Concat,No,Yes,0.1761,0.206,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,hongyu.r.ren@gmail.com,1.3.2,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,18246707000.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 Quadro RTX 8000 (45GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,4 hours
10/12/2021,Local14,WikiKG90Mv2,ComplEx-Shallow,No,Yes,0.0985,0.115,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,hongyu.r.ren@gmail.com,1.3.2,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,18246399400.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 Quadro RTX 8000 (45GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,4 hours
10/12/2021,Local15,WikiKG90Mv2,ComplEx-MPNet,No,Yes,0.0988,0.1258,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,hongyu.r.ren@gmail.com,1.3.2,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,307600.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 Quadro RTX 8000 (45GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,4 hours
10/12/2021,Local16,WikiKG90Mv2,ComplEx-Concat,No,Yes,0.1761,0.2048,OGB-LSC,Stanford,Hongyu Ren,hyren@cs.stanford.edu,hongyu.r.ren@gmail.com,1.3.2,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,18246707000.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 Quadro RTX 8000 (45GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,4 hours
11/15/2021,619276fc4b143,PCQM4Mv2,Transformer+Graph,Yes,Not yet,0.08980579,0.089013308,WonWoo,Standigm,Wonpyo Park,wppark.pio@gmail.com,wppark.pio@gmail.com,1.3.2,https://github.com/microsoft/Graphormer/,https://arxiv.org/abs/2106.05234,11333333323.0,,4 A100 GPU,Intel i5,24 hours,1min
11/15/2021,6192771fcc2bc,PCQM4Mv2,GraphSelfAttention,No,Yes,0.08980579,0.089013308,WonWoo,Standigm,Wonpyo Park,pionpark@gmail.com,pionpark@gmail.com,1.3.2,https://github.com/lenscloth/GraphSelfAttention,https://arxiv.org/abs/2201.12787,46199041.0,,4 A100 GPU,Intel i5,24 hours,1min
1/26/2022,61f1e2f6798f2,PCQM4Mv2,EGT,No,Yes,0.087248091,0.0869,EGT-AIRC,RPI / IBM,Md Shamim Hussain,snirjhar@gmail.com,snirjhar@gmail.com,1.3.2,https://github.com/shamim-hussain/egt_pytorch,https://arxiv.org/abs/2108.03348,89326465.0,"num_layers: [18,24*,30], attn_dropout: [0.1,0.2, 0.3*], dropout: [0*,0.1, 0.2]",8 Tesla V100 (32GB),2 Intel(R) Xeon Gold 6248 @ 2.5 GHz,60 hours,5 minutes
2/1/2022,61f96a054c191,MAG240M,Test Ensemble,Yes,Not yet,0.693138991,0.8989,Weihua,Stanford,Weihua,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb,https://arxiv.org/abs/2103.09430,67000000.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,10 hours
2/1/2022,61f96c73bcb85,PCQM4Mv2,Test Ensemble2,Yes,Not yet,0.10843631,0.8989,Weihua,Stanford,Weihua,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb,https://arxiv.org/abs/2103.09430,67000000.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,10 hours
2/1/2022,61f96d4cf36c9,MAG240M,Test Ensemble3,No,Not yet,0.693138991,0.9999,Weihua-test,Stanford,Weihua,weihuahu@stanford.edu,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb,https://arxiv.org/abs/2103.09430.pdf,66564063213.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,10 hours
2/1/2022,61f9f01460f62,PCQM4Mv2,GIN(edge+global+conv+MLP).tiny,Yes,Not yet,0.129992494,0.1261,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.2,https://github.com/xfcui/mol2vec,https://github.com/xfcui/mol2vec/blob/main/README.md,7273415.0,width=256; scale=3; depth=4,1 NVIDIA A40,1 Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz,12 hours,1 minute
2/8/2022,62032c23427ed,PCQM4Mv2,GNN [4-layer],No,Not yet,0.106857584,0.1058,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.2,https://github.com/xfcui/mol2vec,https://github.com/xfcui/mol2vec/blob/main/README.md,7261465.0,"width:256, nhead:12, depth:4",1 NVIDIA A40,1 Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz,12 hours,1 minute
2/14/2022,620adda63e17e,WikiKG90Mv2,KGT5 (used raw text),No,Not yet,0.189768702,0.221211717,KGT5,Indian Institute of Science/University of Mannheim,Apoorv Saxena,apoorvumang@gmail.com,apoorvumang@gmail.com,1.3.2,https://github.com/apoorvumang/transformer-kgc,https://openreview.net/forum?id=-IqgviHAGoh,60506624.0,Default hyperparameters for training T5 (pls see technical report for details),4 x Geforce GTX 1080Ti,1 Intel Xeon (don't know exact specs),7 days approx,1.5 hours on 1 GPU
2/21/2022,621494126cf12,PCQM4Mv2,CoAtGNN,No,Not yet,0.101358813,0.0994,xfcui@sdu,Shan Dong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.2,https://github.com/xfcui/CoAtGNN,https://github.com/xfcui/CoAtGNN#readme,28246185.0,"width:256, nhead:12, depth:4",1 NVIDIA RTX3090,1 AMD EPYC 7402,43 hours,2 minutes
3/9/2022,622957613bd71,MAG240M,R-UNIMP (KDDCup'21 1st),Yes,Yes,0.7539390640000001,0.7773,BD-PGL,Baidu,Yunsheng Shi,shiyunsheng01@baidu.com,shiyunsheng01@baidu.com,1.3.3,https://github.com/PaddlePaddle/PGL/tree/main/examples/kddcup2021/MAG240M/r_unimp,https://ogb.stanford.edu/paper/kddcup2021/mag240m_BD-PGL.pdf,,,V100 (32GB),,,
3/9/2022,6229582e8a751,MAG240M,MPNN+BGRL (KDDCup'21 2nd),Yes,Yes,0.750737865,0.7709999999999999,Academic,DeepMind,Petar Velickovic,petarv@google.com,petarv@google.com,1.3.3,https://github.com/deepmind/deepmind-research/tree/master/ogb_lsc/mag,https://ogb.stanford.edu/paper/kddcup2021/mag240m_Academic.pdf,,,4 Google Cloud TPUv4,,,
3/9/2022,6229589fe99db,MAG240M,Cleora+EMDE (KDDCup'21 3rd),Yes,Yes,0.7456636240000001,,Synerise AI,Synerise,Jacek Dabrowski,jack.dabrowski@synerise.com,jack.dabrowski@synerise.com,1.3.3,https://github.com/Synerise/kdd-cup-2021,https://ogb.stanford.edu/paper/kddcup2021/mag240m_SyneriseAI.pdf,,,Tesla V100 (16GB),,,
3/9/2022,6229594bb9fab,MAG240M,MPLP+finetune (KDDCup'21 4th),Yes,Yes,0.743983563,,Topology_mag,OPPO Research,Wencai Cao,caowencai@oppo.com,caowencai@oppo.com,1.3.3,https://github.com/qypeng-ustc/mplp,https://ogb.stanford.edu/paper/kddcup2021/mag240m_Topology_mag.pdf,,,V100 GPU (32GB memory),,,
3/9/2022,622959fb23331,MAG240M,SGC+R-GAT+Finetune (KDDCup'21 5th),Yes,Yes,0.7377173859999999,0.742,passages,Nanjing University / BUPT, Kaiyuan Li,tsotfsk@bupt.edu.cn,tsotfsk@bupt.edu.cn,1.3.3,https://github.com/passages-kddcup2021/KDDCUP2021_OGB_LSC_MAG240M,https://ogb.stanford.edu/paper/kddcup2021/mag240m_passages.pdf,,,GeForce RTX 3090 GPU (24GB),,,
3/9/2022,62295a60332cf,MAG240M,GNN180M (KDDCup'21 6th),Yes,Yes,0.73401671,,DeeperBiggerBetter,KAUST / Intel,Guohao Li,guohao.li@kaust.edu.sa,guohao.li@kaust.edu.sa,1.3.3,https://github.com/zarzarj/DeeperBiggerBetter_KDDCup,https://ogb.stanford.edu/paper/kddcup2021/mag240m_DeeperBiggerBetter.pdf,,,4 NVIDIA GeForce RTX 6000 (48G),,,
5/2/2022,626ffd06231b2,WikiKG90Mv2,TransE-Shallow-PIE,No,Yes,0.188293159,0.2342,Ant Group KG&NLP,Ant Group,Linlin Chao,chulin.cll@antgroup.com,chaolin_lin@126.com,1.3.3,https://github.com/alipay/Parameter_Inference_Efficient_PIE,https://arxiv.org/abs/2204.13957,18247074200.0,"lr:[0.05, 0.1],  hidden_dim: [400, 500, 600, 800], batch_size: [1024, 2048, 3072, 8192]",Tesla P100 (16GB GPU)	,64  Intel(R) Xeon(R) CPU E5-2682 v4 @ 2.50GHz,162 hours (4 GPUs),"41.3 seconds (4 GPUs, without candidate selection step)"
6/5/2022,629d05d2e07eb,MAG240M,Syn,Yes,No,0.745107388,0.76,Test,Test,Tianxin Wei,twei10@illinois.edu,twei10@illinois.edu,1.3.3,https://github.com/Synerise/kdd-cup-2021,https://github.com/Synerise/kdd-cup-2021/blob/main/KDDCup_Synerise.pdf,10000000.0,,1 Tesla V100 32GB,16 Core CPU,5 hours,5 minutes
6/24/2022,62b585b16cffa,PCQM4Mv2,EGT,No,Yes,0.086160134,0.0857,EFT-AIRC,RPI / IBM,Md Shamim Hussain,snirjhar@gmail.com,snirjhar@gmail.com,1.3.2,https://github.com/shamim-hussain/egt_pytorch,https://arxiv.org/abs/2108.03348,89326465.0,"num_layers: [18, 24*, 30], attn_dropout: [0.1, 0.2, 0.3*], dropout: [0*, 0.1, 0.2]",8 Tesla V100 (32GB),2 Intel (R) Xeon Cold 6248 @ 2.5 GHz (700GB RAM),60 hours,5 minutes
8/8/2022,62f1336eb3c41,PCQM4Mv2,TokenGT (Lap),No,Yes,0.091906773,0.091,vl-kaist,KAIST,Jinwoo Kim,jinwoo-kim@kaist.ac.kr,bugkjw@gmail.com,1.3.2,https://github.com/jw9730/tokengt,https://arxiv.org/abs/2207.02505,48492289.0,"lap_pe_k: [8, 16, 32], lap_pe_eig_dropout: [0, 0.2, 0.5]",NVIDIA RTX 3090 x 8,Intel(R) Xeon(R) Gold 6230R CPU @ 2.10GHz (1 TB),60 hours,95 seconds
8/11/2022,62f5f45f10c89,PCQM4Mv2,GEM-2,No,Yes,0.080602065,0.0793,PaddleHelix,Baidu,Donglong He,hedonglong@baidu.com,donglonghe@gmail.com,1.3.3,https://github.com/PaddlePaddle/PaddleHelix/tree/dev/apps/pretrained_compound/ChemRL/GEM-2,https://arxiv.org/abs/2208.05863,32086707.0,"lr:[4e-4*, 8e-4], dropout:[0, 0.05*], channel size: [128, 256*]",16 NVIDIA A100,Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz(512GB),80hours,1 hour
8/14/2022,62f912352343d,PCQM4Mv2,GRPE-Large,No,Yes,0.0876378999999999,0.08665888,WonWoo,SNU / Standigm,Wonpyo Park,wppark.pio@gmail.com,wppark.pio@gmail.com,1.3.3,https://github.com/lenscloth/GRPE,https://arxiv.org/abs/2201.12787,118300000.0,"lr: [2e-4,1e-9], num_layers: 12, hidden & feed forward network channels: 768, dropout-attention/ffn: 0.1, epochs: 400, batch-size: 256",8 A100-SXM4-40GB,AMD EPYC 7742 64-Core Processor,60 hours,3 minute 36 seconds
8/29/2022,630d94d840ed5,PCQM4Mv2,CoAtGIN-tiny,No,Yes,0.093510048,0.0933,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.4,https://github.com/xfcui/CoAtGIN,https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1,5460225.0,"width: 256, depth:5",NVIDIA A40,Intel(R) Xeon(R) Gold 6342,2 days,1 mins
9/1/2022,6310c7b17b154,WikiKG90Mv2,ComplEx,No,Yes,0.141160414,0.1816,GraphLARS,"EE, Tsinghua / 4paradigm",Ling Yue,yueling.me@qq.com,yueling.me@gmail.com,1.3.3,https://github.com/google-research/smore/blob/wikikgv2/README_wikikgv2.md,https://openreview.net/pdf?id=qkcLxoC52kL,18246707000.0,"lr: [0.1, 0.01]",1*A100,8 * Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz,72 hours,1min
9/2/2022,6312a987722d8,PCQM4Mv2,GraphGPS without PE (subset),No,Yes,0.139525953,0.1334,GraphLARS,4Paradigm && EE Tsinghua,Xu Wang,wangxu01@4paradigm.com,wangxu01@4paradigm.com,1.3.2,https://github.com/rampasek/GraphGPS,https://arxiv.org/abs/2205.12454,6155089.0,"num_layers:[4, 5, 6, 7]; dropout:[0.3, 0.4, 0.5]; hidden_size: [256, 512]",1 RTX3090 (24GB GPU),Intel(R) Xeon(R) Silver 4214 CPU @ 2.20GHz,4 hours,16s
9/8/2022,6319d41bb5967,PCQM4Mv2,CoAtGIN-tiny,No,Yes,0.092122216,0.0916,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.4,https://github.com/xfcui/CoAtGIN,https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1,6183425.0,"width: 256, depth:6",1 NVIDIA A40,Intel(R) Xeon(R) Gold 6342,3 days,1 mins
9/20/2022,632a4a41e12c6,PCQM4Mv2,CoAtGIN-tiny,No,Yes,0.090758453,0.0901,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.4,https://github.com/xfcui/CoAtGIN,https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1,6395393.0,"width: 256, depth:4",1 NVIDIA A40,Intel(R) Xeon(R) Gold 6342,4 days,1 mins
9/30/2022,6337881328a9d,PCQM4Mv2,CoAtGIN-base,No,Yes,0.0865679069999999,0.0859,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.4,https://github.com/xfcui/CoAtGIN,https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1,9938433.0,"width: 256, depth:4",8 NVIDIA A40,Intel(R) Xeon(R) Gold 6342,2 days,1 mins
10/3/2022,633b6e620f4f5,PCQM4Mv2,Deep graph transformer,Yes,Yes,0.090398302,0.0891,NVIDIA-PCQM4Mv2,NVIDIA,Jiwei Liu,jiweil@nvidia.com,aixueer4ever@gmail.com,1.3.4,https://github.com/daxiongshu/PCQM4Mv2_subs,https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf,63600000.0,"num_layers [5, 25], lr [1e-5, 1e-3]",1 NVIDIA V100 GPU 32 GB,1 Intel Xeon 20 core CPU,44 hours,5 mins
10/5/2022,633d4b7e497cc,PCQM4Mv2,Transformer-M,No,Yes,0.078220259,0.0772,FML Lab@PKU,Peking University,Shengjie Luo,luosj@stu.pku.edu.cn,luoshengjie2408@gmail.com,1.3.2,https://github.com/lsj2408/Transformer-M,https://arxiv.org/abs/2210.01765,68957249.0,"lr: 2e-4, num_layers: 18, hidden_dimension: 768, ffn_dimension: 768, dropout: 0.0, act_dropout: 0.1, attn_dropout: 0.1, weight_decay: 0.0, total_steps: 1500000, warmup_steps: 150000, num_heads: 32, num_gaussian_basis_kernels: 128, stochastic_depth: 0.1, noise_scale: 0.2",4 NVIDIA Tesla A100 GPUs (40GB),AMD EPYC 7V12 64-Core Processor,75 hours,61s
10/11/2022,6345bededd417,MAG240M,rgat + prior year dist,No,No,1223.167348,0.7157,mycelia,The Trade Desk,mehdi aghagolzadeh,aghagolzadeh@gmail.com,aghagolzadeh@gmail.com,1.3.2,https://github.com/mycelia-ttd/rgnn/blob/main/main.py,https://github.com/mycelia-ttd/rgnn/blob/main/README.md,8323225.0,none,1 AWS EC2 G5 instance,g5.16xlarge,6 hours,10 minutes
10/11/2022,63462522c6998,PCQM4Mv2,Deep graph transformer,Yes,Yes,0.085243653,0.0891,NVIDIA-PCQM4Mv2,NVIDIA,Jiwei Liu,jiweil@nvidia.com,aixueer4ever@gmail.com,1.3.4,https://github.com/daxiongshu/PCQM4Mv2_subs,https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf,63600000.0,"num_layers [5, 25], lr [1e-5, 1e-3]",1 NVIDIA V100 GPU 32 GB,1 Intel Xeon 20 core CPU,44 hours,5 mins
10/19/2022,634fad7e0a222,PCQM4Mv2,Test,No,No,0.10843631,0.0,Test,TU Dortmund,Weihua Hu,weihua916@gmail.com,weihua916@gmail.com,1.3.2,https://github.com/snap-stanford/ogb,https://arxiv.org/abs/2103.09430,66564063213.0,"lr: [0.001*, 0.01], num_layers: [4*,5], hidden_channels: [128, 256*], dropout: [0*, 0.5], epochs: early-stop*",1 GeForce RTX 2080 (11GB GPU),1 Intel(R) Xeon(R) Gold 6148 CPUs @ 2.40GHz (512GB memory),24 hours,10 hours
10/19/2022,634fb23640854,PCQM4Mv2,MolNet_Ensemble,Yes,Not yet,0.077224474,0.0847,polixir.ai,polixir.ai,Xiaochuan Zou,zouxiaochuan@163.com,zouxiaochuan1984@gmail.com,1.3.4,https://github.com/zouxiaochuan/molnet_kddcup2021,https://github.com/zouxiaochuan/molnet_kddcup2021/blob/master/molnet_arxiv.pdf,32047874.0,"epoch:100, lr:1e-4, lr_decay_epoch:1,lr_decay:0.97,dropout:0.1,num_layers:24,hidden_channels:256,num_attention_head:16",8 RTX3090,2 Intel Xeon Gold 5218R 512G,50 hours,35 minute
10/19/2022,63500d9decd1d,PCQM4Mv2,Deep graph transformer,Yes,Yes,0.08440291,0.0891,NVIDIA-PCQM4Mv2,NVIDIA,Jiwei Liu,jiweil@nvidia.com,aixueer4ever@gmail.com,1.3.4,https://github.com/daxiongshu/PCQM4Mv2_subs,https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf,63600000.0,"num_layers [5, 25], lr [1e-5, 1e-3]",1 NVIDIA V100 GPU 32 GB,1 Intel Xeon 20 core CPU,44 hours,5 mins
10/23/2022,63563378aa945,WikiKG90Mv2,PIE-RM,Yes,No,0.211504415,0.254,USTCWiki,USTC / iflytek,TingJia Shen,jts_stj@mail.ustc.edu.cn,ustcghc@mail.ustc.edu.cn,1.3.4,https://github.com/TingJShen/Wikikg90mV2,https://openreview.net/pdf?id=qkcLxoC52kL,18247074200.0,"""lr:0.01""",4 Telsla M40,1 Intel(R) Xeon(R) CPU E5-2667 v4 @ 3.20GHz,72 hours,1 hour
10/24/2022,63569d8a55269,PCQM4Mv2,MolNet_Ensemble,Yes,Yes,0.989853121,0.0847,polixir.ai,polixir.ai,xiaochuan zou,zouxiaochuan1984@gmail.com,zouxiaochuan1984@gmail.com,1.3.4,https://github.com/zouxiaochuan/code_ogblsc2022,https://github.com/zouxiaochuan/code_ogblsc2022/blob/main/molnet2022_arxiv.pdf,32047874.0,"epoch:100, lr:1e-4, lr_decay_epoch:1,lr_decay:0.97,dropout:0.1,num_layers:24,hidden_channels:256,num_attention_head:16",8 RTX3090,2 Intel Xeon Gold 5218R 512G,50 hours,15 minutes
10/26/2022,6358de01137c1,WikiKG90Mv2,PIE-RM,Yes,Yes,0.211504415,0.254,USTCWiki,USTC / iflytek,HongChao Gu,ustcghc@mail.ustc.edu.cn,ustcghc@mail.ustc.edu.cn,1.3.4,https://github.com/TingJShen/Wikikg90mV2,https://openreview.net/pdf?id=qkcLxoC52kL,18247074200.0,"""lr:0.01""",4 Telsla M40,1 Intel(R) Xeon(R) CPU E5-2667 v4 @ 3.20GHz,72 hours,1 hour
10/26/2022,63591394ae397,PCQM4Mv2,Global-ViSNet,No,Yes,0.076604453,0.0784,ViSNet,Microsoft Research AI4Science,Tong Wang,watong@microsoft.com,watong@microsoft.com,1.3.2,https://github.com/ogb-visnet/Global-ViSNet,https://github.com/ogb-visnet/Global-ViSNet/blob/master/ViSNet_Tech_Report.pdf,78450692.0,"lr: [1e-4, 2e-4], num_layers: [12, 18]",4 NVIDIA A100 GPUs,Intel(R) Xeon(R) Platinum 8168 CPU @ 2.70GHz,100 hours,75 seconds
10/26/2022,63594ea9ceb46,PCQM4Mv2,Deep graph transformer,Yes,Yes,0.084271151,0.0891,NVIDIA-PCQM4Mv2,NVIDIA,Jiwei Liu,jiweil@nvidia.com,aixueer4ever@gmail.com,1.3.4,https://github.com/daxiongshu/PCQM4Mv2_subs,https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf,63600000.0,"num_layers [5, 25], lr [1e-5, 1e-3]",1 NVIDIA V100 GPU 32 GB,1 Intel Xeon 20 core CPU,44 hours,5 mins
10/30/2022,635ed119afbd1,PCQM4Mv2,improved GraphGPS,Yes,No,0.076696065,0.0761,GraphLARS,4Paradigm && EE Tsinghua,Xu Wang,wangxu01@4paradigm.com,wangxu01@4paradigm.com,1.3.2,https://github.com/rampasek/GraphGPS,https://arxiv.org/abs/2205.12454,70854372.0,"num_layers:[8,10]; dropout:[0.1, 0.2, 0.3]; batch_size: [256, 512]; hidden_size[512, 768]",4 RTX 3090,Intel(R) Xeon(R) Silver 4214 CPU @ 2.20GHz,64 Hours,2 minutes
10/30/2022,635f65c3dbd96,PCQM4Mv2,HFAGNN,No,Yes,0.101009082,0.1005,Zhuque Zhejianglab,Zhejiang Lab,Can Xu,leoxc1571@163.com,xcleo1571@gmail.com,1.3.4,https://github.com/Tigerrr07/HFAGNN,https://github.com/Tigerrr07/HFAGNN/blob/master/technical_report.pdf,3949959.0,"lr: [0.0005], num_layers: [6], hidden_channels: [256], dropout[0.1]",1 NVIDIA TITAN V GPU(12GB memory),1 Intel(R) Xeon(R) Silver 4214R CPU @ 2.40GHz (256GB memory),25,1
10/31/2022,635ffcbb5735d,WikiKG90Mv2,TransE-ens,Yes,Yes,0.190349907,0.2931,CogDL,Tsinghua / Zhipu.AI,Xiao Liu,xiao190525@gmail.com,xiao190525@gmail.com,1.3.3,https://github.com/anyezhiya368/ogb-lsc-2022,https://openreview.net/pdf?id=qkcLxoC52kL,18247074200.0,,1 A100,128 Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz,24 hours,6 hours
11/1/2022,6360d60851044,PCQM4Mv2,MolNet_Ensemble,Yes,Yes,0.075315417,0.0797,polixir.ai,polixir.ai,zouxiaochuan,zouxiaochuan1984@gmail.com,zouxiaochuan1984@gmail.com,1.3.4,https://github.com/zouxiaochuan/code_ogblsc2022,https://github.com/zouxiaochuan/code_ogblsc2022/blob/main/molnet2022_arxiv.pdf,32047874.0,"epoch:100, lr:1e-4, lr_decay_epoch:1,lr_decay:0.97,dropout:0.1,num_layers:24,hidden_channels:256,num_attention_head:16",8 RTX3090,2 Intel Xeon Gold 5218R 512G,50 hours,15 minutes
11/1/2022,6360dadc27563,WikiKG90Mv2,GNN+TransE,Yes,Not yet,0.000157778,0.253,Annotate,Microosft,Navya Yarrabelly,navya.yarrabelly@gmail.com,navya.yarrabelly@gmail.com,1.3.4,https://github.com/navyayarrabelly/Wikikg90m-v2_lsc,https://github.com/navyayarrabelly/Wikikg90m-v2_lsc/blob/main/report.pdf,18247074200.0,,A100 GPU 40GB,1*A100,30 hours,30 minutes
11/5/2022,6366f7fee37d4,WikiKG90Mv2,ComplEx-Concat & Rules,Yes,Not yet,0.175450116,0.212,Oxford DKG,Oxford,Lianlong Wu,lianlongwu@gmail.com,lianlongwu@gmail.com,1.3.4,https://github.com/lwuogb/ogb-lsc-wikikg90mv2,https://github.com/lwuogb/ogb-lsc-wikikg90mv2/tree/main/report,18246947800.0,"lr:[0.1], batch_size=512,hidden_dim=100, steps:4199999",4 NVIDIA Tesla T4 (16 GB) ,Intel(R) Xeon(R) CPU @ 2.20GHz (RAM 680 GB) / Intel(R) Xeon(R) Platinum 8269CY CPU @ 2.50GHz (RAM 3072 GB),25 Hours / 7 Days,10 Minutes
11/6/2022,636880176eedf,WikiKG90Mv2,DGLKE+RuleMining+ManualFeature,Yes,Not yet,0.249349385,0.291564,DNAKG,MSRA,Xiaojun Ma,xiaojunma@microsoft.com,maxiaojun.pku@gmail.com,1.3.4,https://github.com/aries-M/Wikikg90mV2,https://openreview.net/pdf?id=qkcLxoC52kL,18247074200.0,"The same hyper-parameter setting as the second winning solution in OGBLSC 2021, and the ensemble weight is searched among [0,1].","2x TitanV,800GB memory","2x TitanV,800GB memory",48hours,1 hour
11/9/2022,636ca12870fbf,PCQM4Mv2,CoAtGIN-base,No,Not yet,0.085986065,0.085,xfcui@sdu,Shandong University,Xuefeng Cui,xfcui.uw@gmail.com,xfcui.uw@gmail.com,1.3.4,https://github.com/xfcui/CoAtGIN,https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1,10871264.0,"depth4, width256",8 NVIDIA A40,2 Intel Xeon Gold 6342,3 days,1 mins
11/10/2022,636dd41133d0d,PCQM4Mv2,GPS,No,Yes,0.086238257,0.085232124,Mila,Mila / Universite de Montreal,Ladislav Rampasek,rampasek@gmail.com,rampasek@gmail.com,1.3.5,https://github.com/rampasek/GraphGPS,https://arxiv.org/abs/2205.12454,13807345.0,"lr: [0.001, 0.0005, 0.0002, 0.0001], num_layers: [5,10,16], hidden_channels: [256,304,384], dropout: [0, 0.1, 0.15, 0.2], epochs: [150]",1 NVIDIA A100 (40GB),4 cores of AMD EPYC 7413 (24GB RAM),60h,30min
11/18/2022,6377cc7c8ab5e,PCQM4Mv2,GPS++,Yes,Yes,0.072042256,0.0778,GraphcoreValenceMILA,Graphcore/Valence/MILA,Dominic Masters,dominicm@graphcore.ai,dominic.masters.gc@gmail.com,1.3.4,https://github.com/graphcore/ogb-lsc-pcqm4mv2,https://github.com/graphcore/ogb-lsc-pcqm4mv2/raw/main/GPSplusplus.pdf,44291413.0,16 GPS layers; node/edge/global latent sizes 256/128/64; 2 layers per MLP; MLP expansion ratio 4; node/edge/global/attention dropout rate 0.3/0.0035/0.35/0.3; stochastic depth dropout rate 0.3; training epochs 450; learning rate 4e-4; ,Graphcore BOW-POD16,AMD EPYC 7742 64-Core CPU,24 hours,1 hour 32 minutes
11/20/2022,637adf5dc96a5,WikiKG90Mv2,DGLKE+RuleMining+ManualFeature,Yes,Yes,0.249349385,0.291564,DNAKG,MSRA,Xiaojun Ma,xiaojunma@microsoft.com,maxiaojun.pku@gmail.com,1.3.4,https://github.com/AprLie/DNAKG.git,https://ogb.stanford.edu/paper/neurips2022/wikikg90mv2_DNAKG.pdf,18247074200.0,"The same hyper-parameter setting as the second winning solution in OGBLSC 2021, and the ensemble weight is searched among [0,1].","2x TitanV,800GB memory","2x TitanV,800GB memory",48hours,1 hour
11/21/2022,637b904fd9654,MAG240M,MDGNN (OGB-LSC'22 3rd),Yes,Yes,0.753496345,0.7756,CogDL,Tsinghua / Zhipu AI,Yukuo Cen,cenyk1230@gmail.com,cenyk1230@gmail.com,1.3.4,https://github.com/cenyk1230/MDGNN_MAG240M,https://github.com/cenyk1230/MDGNN_MAG240M/blob/master/MDGNN_MAG240M_2022.pdf,1297305.0,"lr: 0.01, num_layers: 2, hidden_channels: [512*, 1024], dropout: 0.5, batch_size: 10000, epochs: early-stop",1 NVIDIA A100 GPU (80GB memory),1 AMD EPYC 7642 48-Core Processor (1T memory),20 hours,1 hour
12/1/2022,638878c12296c,WikiKG90Mv2,BESS + diverse KGE ensemble,Yes,Yes,0.253896773,0.291932285,Graphcore,Graphcore,Daniel Justus,danielj@graphcore.ai,daju85@gmail.com,1.3.4,https://github.com/graphcore/distributed-kge-poplar,https://arxiv.org/abs/2211.12281,23356393344.0,"lr: [3e-4 - 3e-3* - 3e-2], batch_size: [256* - 512], share_feature_networks: [False*, True], loss.type: [*logsigmoid, softmax], ...",Graphcore Bow Pod16,AMD EPYC 7763 (512GB memory),11h 50m,101 seconds
2/16/2023,63ee513c0ab98,PCQM4Mv2,EGT+LSPE+HIERA_clustering,No,Yes,0.086808508,0.086300716,rwlspegate2,University of Seoul,YEOM JE YOON,a01082177535@gmail.com,a01082177535@gmail.com,1.3.5,https://github.com/emforce77/rwlspegate2.git,https://github.com/emforce77/rwlspegate2/blob/c3b83ac0a1f0d1dc67e3f59d928eb092dd797cd4/technical_report.pdf,90102913.0," attn_dropout: [0.3*,0.4] upto_hop: [1,2,8,16*]  svd_calculated_dim: [16,24,32*,36]",NVIDIA A100 80GB HBM2E SXM4,"Intel Xeon GOLD 6348 (28 Core, 42M Cache, 2.6 GHz, 235W)",120 hours,1 hours
3/15/2023,6411a5acc5f2d,PCQM4Mv2,Uni-Mol+ (use 3D),No,No,0.070963155,0.0701,DP Technology,DP Technology,Guolin Ke,guolin.ke@outlook.com,imguolin@gmail.com,1.3.5,https://github.com/dptech-corp/Uni-Mol/tree/main/unimol_plus,https://arxiv.org/abs/2303.16982,77025812.0,"lr=2e-4, batchsize=1024, select checkpoint with the best validation MAE",8 NVIDIA A100 GPUs,Dual AMD Rome 7742,7 days,"1 hour by single V100 GPU, including data preparation time"
06/06/2023,647f667d4ac6b,PCQM4Mv2,GPTrans-L,No,Yes,0.0821015477612753,0.0809,IMAGINE@NJU,Nanjing University,Zhe Chen,wztxy89@163.com,czcz94cz@gmail.com,1.3.2,https://github.com/czczup/GPTrans/tree/main,https://arxiv.org/abs/2305.11424,85995713.0,,8 NVIDIA A100 GPUs,Intel CPU,48 hours,1 minute
06/14/2023,6489e77d4f0c2,PCQM4Mv2,GPTrans-T,No,Yes,0.084153634601025,0.0833,IMAGINE@NJU,Nanjing University,Zhe Chen,wztxy89@163.com,czcz94cz@gmail.com,1.3.2,https://github.com/czczup/GPTrans/tree/main,https://arxiv.org/abs/2305.11424,6577697.0,,8 NVIDIA A100 GPUs,Intel CPU,10 hours,1 minute
07/06/2023,64a7a65e8e0d3,PCQM4Mv2,Uni-Mol+ (use 3D),No,Yes,0.0705361227095299,0.0693,DP Technology,DP Technology,Guolin Ke,guolin.ke@outlook.com,imguolin@gmail.com,1.3.5,https://github.com/dptech-corp/Uni-Mol/tree/main/unimol_plus,https://arxiv.org/abs/2303.16982,77025812.0,"Adamw with peak lr 2e-4, 1.5m steps, and directly use the last checkpoint",8 NVIDIA A100 GPUs,"Dual AMD Rome 7742, 128 cores total, 2.25 GHz (base), 3.4 GHz (max boost)",7 days,7 minutes by 8 V100 GPUs
07/14/2023,64b0fc769439e,PCQM4Mv2,Uni-Mol+ base (use 3D),No,Yes,0.0707540585300414,0.0696,DP Technology,DP Technology,Guolin Ke,guolin.ke@outlook.com,imguolin@gmail.com,1.3.5,https://github.com/dptech-corp/Uni-Mol/tree/main/unimol_plus,https://arxiv.org/abs/2303.16982,52374260.0,"peak lr=2e-4, 1.5M steps, directly use the last checkpoint",8 NVIDIA A100 GPUs,"Dual AMD Rome 7742, 128 cores total",5 days,5 minutes by 8 V100 GPUs
11/16/2023,65565301854b3,PCQM4Mv2,EGT+Tri. Attn.+RDKit Coords.,No,Yes,0.068258088757189,0.0671,EGT-AIRC,RPI / IBM,Md Shamim Hussain,snirjhar@gmail.com,snirjhar@gmail.com,1.3.5,https://github.com/shamim-hussain/egt_triangular,https://github.com/shamim-hussain/egt_triangular/blob/master/Report.pdf,203945093.0,"lr: [0.001, 0.002*], num_layers: [12,18,24*], hidden_channels: [512, 768*], source_dropout: [0.1,0.2, 0.3*], path_dropout: [0.1, 0.2*]",32 NVIDIA V100 (32 GB),8 Intel Xeon Gold 6248 CPU (3072 GB Memory),36 hours,1 hour
11/23/2023,656035b4348b6,PCQM4Mv2,EGT+Tri. Attn. (Pure Neural),No,Yes,0.0698127663234968,0.0686,EGT-AIRC,RPI / IBM,Md Shamim Hussain,snirjhar@gmail.com,snirjhar@gmail.com,1.3.5,https://github.com/shamim-hussain/egt_triangular,https://github.com/shamim-hussain/egt_triangular/blob/master/Report.pdf,203894787.0,"lr: [0.001, 0.002*], num_layers: [12,18,24*], hidden_channels: [512, 768*], source_dropout: [0.1,0.2, 0.3*], path_dropout: [0.1, 0.2*]",32 NVIDIA V100 (32 GB),8 Intel Xeon Gold 6248 CPU (3072 GB Memory),36 hours,1 hour
08/11/2024,66b994a9585c7,PCQM4Mv2,GraphGPT(MLM pretrained),No,Yes,0.0856246531063338,0.0847,Alibaba-DT,Alibaba,Qifang Zhao,james.zqf@alibaba-inc.com,zhaoqf123@gmali.com,1.3.6,https://github.com/alibaba/graph-gpt,https://arxiv.org/abs/2401.00529,453388801.0,"lr: [0.0001*, 0.0003], num_layers: [12,24,48*], hidden_channels: [512,768*], dropout: [0*, 0.1], path-dropout: [0, 0.1, 0.2*], epochs: [16,32*,40]",4 Nvidia L40S,1 Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz,30 hours,30 mins
08/21/2024,66c6b8fa3a6e2,PCQM4Mv2,GraphGPT(MLM tv10k),No,Yes,0.0803508622332648,0.084,Alibaba-DT,Alibaba,Qifang Zhao,james.zqf@alibaba-inc.com,zhaoqf123@gmali.com,1.3.6,https://github.com/alibaba/graph-gpt,https://arxiv.org/abs/2401.00529,453388801.0,"lr: [0.0001*, 0.0003], num_layers: [12,24,48*], hidden_channels: [512,768*], dropout: [0*, 0.1], path-dropout: [0, 0.1, 0.2*], epochs: [16,32*,40], mask: [0.8,0,0.2]",4 Nvidia L40S,1 Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz,30 hours,30 mins
08/29/2024,66d0876e230d8,PCQM4Mv2,GraphGPT(MLM tv0),No,Yes,0.0801959041247291,0.08,Alibaba-DT,Alibaba,Qifang Zhao,james.zqf@alibaba-inc.com,zhaoqf123@gmali.com,1.3.6,https://github.com/alibaba/graph-gpt,https://arxiv.org/abs/2401.00529,453388801.0,"lr: [0.0001*, 0.0003], num_layers: [12,24,48*], hidden_channels: [512,768*], dropout: [0*, 0.1], path-dropout: [0, 0.1, 0.2*], epochs: [16,32*,40], add 74k valid data",4 Nvidia L40S,1 Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz,30 hours,30 mins
11/30/2024,674bd4826379a,PCQM4Mv2,GraphGPT(use 3D),No,Yes,0.0716717852083678,0.07,Alibaba-DT,Alibaba,Qifang Zhao,james.zqf@alibaba-inc.com,zhaoqf123@gmali.com,1.3.6,https://github.com/alibaba/graph-gpt,https://arxiv.org/abs/2401.00529,455887108.0,"lr: [0.0001*, 0.0003], num_layers: [12,24,48*], hidden_channels: [512,768*], dropout: [0*, 0.1], path-dropout: [0, 0.05*, 0.1, 0.2], epochs: [16,32*,40], add 65k valid data",8 Nvidia L40S,1 Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz,60 hours,10 mins
12/31/2024,677404423c21c,PCQM4Mv2,GraphGPT-L48(use 3D),No,Yes,0.0709272299260622,0.0682,Alibaba-DT,Alibaba,Qifang Zhao,zhaoqf123@gmail.com,zhaoqf123@gmali.com,1.3.6,https://github.com/alibaba/graph-gpt,https://arxiv.org/abs/2401.00529,810486788.0,"lr: [0.00015*, 0.0003], num_layers: [12,24,48*], hidden_channels: [768,1024*], dropout: [0*, 0.1], path-dropout: [0, 0.05*, 0.1, 0.2], epochs: [16,32*,40], add 65k valid data",16 Nvidia L40S,1 Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz,48 hours,15 mins
10/30/2025,690347939f52d,PCQM4Mv2,GCN,No,Yes,0.199366979089192,0.1865,sdu_lzl,sdu,Zilong Liu,zilongliu@mail.sdu.edu.cn,zilongliusdu@gmail.com,1.3.6,https://github.com/lyuzlion/PCQM4Mv2,https://github.com/lyuzlion/PCQM4Mv2,1956001.0,,1 NVIDIA GeForce RTX 2080 Ti,1 Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz,1 hour,1 hour
04/07/2026,69d5881cefe9e,PCQM4Mv2,BGN,No,Yes,1.3780728956082242,0.1378997266292572,BGN,INPT,Tarik lemkadem,tarik.lemkadem@gmail.com,tarik.lemkadem@gmail.com,1.3.6,https://github.com/tarik-lemkadem/BGN-graph-classification.git,https://openreview.net/forum?id=DK4kl9eTIo,3617286.0,"lr: [0.001*], num_layers: [3, 5*], hidden_channels: [64, 256*], k_steps: [1*], residual: [0.3, 0.5*, 0.7], alpha: [0.1*], dropout: [0.0*], readout: [mean+max*], use_jk: [True*], batch_size: [64, 256*], lr_decay_step: [30*], lr_decay_gamma: [0.25*], epochs: early-stop*",NVIDIA GeForce RTX 3070 Laptop GPU,"AMD Ryzen 7 5800H (8 cores, 11GB memory)", 23.3 hrs,"~37 seconds (147,037 graphs, batch size 256, RTX 3070 Laptop GPU)"