From 6978c63698a43910196ef39f7732eddfd058f41a Mon Sep 17 00:00:00 2001 From: Weihua Hu Date: Sun, 12 Jan 2025 20:41:32 -0800 Subject: [PATCH] updatelscleaderboard --- _docs/lsc/leaderboards.md | 69 ++++++++++++++++++++------------------- test-dev_master.csv | 2 +- 2 files changed, 36 insertions(+), 35 deletions(-) diff --git a/_docs/lsc/leaderboards.md b/_docs/lsc/leaderboards.md index 8f27e86..e27034c 100644 --- a/_docs/lsc/leaderboards.md +++ b/_docs/lsc/leaderboards.md @@ -100,40 +100,41 @@ permalink: /docs/lsc/leaderboards/ | 2 | **EGT+Tri. Attn. (Pure Neural)** | No | 0.0698 | 0.0686 | EGT-AIRC | [Md Shamim Hussain](mailto:snirjhar@gmail.com) (RPI / IBM) | [Paper](https://github.com/shamim-hussain/egt_triangular/blob/master/Report.pdf), [Code](https://github.com/shamim-hussain/egt_triangular) | 203,894,787 | 32 NVIDIA V100 (32 GB) | Nov 23, 2023 | | 3 | **Uni-Mol+ (use 3D)** | No | 0.0705 | 0.0693 | DP Technology | [Guolin Ke](mailto:guolin.ke@outlook.com) (DP Technology) | [Paper](https://arxiv.org/abs/2303.16982), [Code](https://github.com/dptech-corp/Uni-Mol/tree/main/unimol_plus) | 77,025,812 | 8 NVIDIA A100 GPUs | Jul 6, 2023 | | 4 | **Uni-Mol+ base (use 3D)** | No | 0.0708 | 0.0696 | DP Technology | [Guolin Ke](mailto:guolin.ke@outlook.com) (DP Technology) | [Paper](https://arxiv.org/abs/2303.16982), [Code](https://github.com/dptech-corp/Uni-Mol/tree/main/unimol_plus) | 52,374,260 | 8 NVIDIA A100 GPUs | Jul 14, 2023 | -| 5 | **GraphGPT(use 3D)** | No | 0.0717 | 0.0700 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 455,887,108 | 8 Nvidia L40S | Nov 30, 2024 | -| 6 | **GPS++** | Yes | 0.0720 | 0.0778 | GraphcoreValenceMILA | [Dominic Masters](mailto:dominicm@graphcore.ai) (Graphcore/Valence/MILA) | [Paper](https://github.com/graphcore/ogb-lsc-pcqm4mv2/raw/main/GPSplusplus.pdf), [Code](https://github.com/graphcore/ogb-lsc-pcqm4mv2) | 44,291,413 | Graphcore BOW-POD16 | Nov 18, 2022 | -| 7 | **MolNet_Ensemble** | Yes | 0.0753 | 0.0797 | polixir.ai | [zouxiaochuan](mailto:zouxiaochuan1984@gmail.com) (polixir.ai) | [Paper](https://github.com/zouxiaochuan/code_ogblsc2022/blob/main/molnet2022_arxiv.pdf), [Code](https://github.com/zouxiaochuan/code_ogblsc2022) | 32,047,874 | 8 RTX3090 | Nov 1, 2022 | -| 8 | **Global-ViSNet** | No | 0.0766 | 0.0784 | ViSNet | [Tong Wang](mailto:watong@microsoft.com) (Microsoft Research AI4Science) | [Paper](https://github.com/ogb-visnet/Global-ViSNet/blob/master/ViSNet_Tech_Report.pdf), [Code](https://github.com/ogb-visnet/Global-ViSNet) | 78,450,692 | 4 NVIDIA A100 GPUs | Oct 26, 2022 | -| 9 | **Transformer-M** | No | 0.0782 | 0.0772 | FML Lab@PKU | [Shengjie Luo](mailto:luosj@stu.pku.edu.cn) (Peking University) | [Paper](https://arxiv.org/abs/2210.01765), [Code](https://github.com/lsj2408/Transformer-M) | 68,957,249 | 4 NVIDIA Tesla A100 GPUs (40GB) | Oct 5, 2022 | -| 10 | **GraphGPT(MLM tv0)** | No | 0.0802 | 0.0800 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 453,388,801 | 4 Nvidia L40S | Aug 29, 2024 | -| 11 | **GraphGPT(MLM tv10k)** | No | 0.0804 | 0.0840 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 453,388,801 | 4 Nvidia L40S | Aug 21, 2024 | -| 12 | **GEM-2** | No | 0.0806 | 0.0793 | PaddleHelix | [Donglong He](mailto:hedonglong@baidu.com) (Baidu) | [Paper](https://arxiv.org/abs/2208.05863), [Code](https://github.com/PaddlePaddle/PaddleHelix/tree/dev/apps/pretrained_compound/ChemRL/GEM-2) | 32,086,707 | 16 NVIDIA A100 | Aug 11, 2022 | -| 13 | **GPTrans-L** | No | 0.0821 | 0.0809 | IMAGINE@NJU | [Zhe Chen](mailto:wztxy89@163.com) (Nanjing University) | [Paper](https://arxiv.org/abs/2305.11424), [Code](https://github.com/czczup/GPTrans/tree/main) | 85,995,713 | 8 NVIDIA A100 GPUs | Jun 6, 2023 | -| 14 | **GPTrans-T** | No | 0.0842 | 0.0833 | IMAGINE@NJU | [Zhe Chen](mailto:wztxy89@163.com) (Nanjing University) | [Paper](https://arxiv.org/abs/2305.11424), [Code](https://github.com/czczup/GPTrans/tree/main) | 6,577,697 | 8 NVIDIA A100 GPUs | Jun 14, 2023 | -| 15 | **Deep graph transformer** | Yes | 0.0843 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 26, 2022 | -| 16 | **Deep graph transformer** | Yes | 0.0844 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 19, 2022 | -| 17 | **Deep graph transformer** | Yes | 0.0852 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 11, 2022 | -| 18 | **GraphGPT(MLM pretrained)** | No | 0.0856 | 0.0847 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 453,388,801 | 4 Nvidia L40S | Aug 11, 2024 | -| 19 | **EGT** | No | 0.0862 | 0.0857 | EFT-AIRC | [Md Shamim Hussain](mailto:snirjhar@gmail.com) (RPI / IBM) | [Paper](https://arxiv.org/abs/2108.03348), [Code](https://github.com/shamim-hussain/egt_pytorch) | 89,326,465 | 8 Tesla V100 (32GB) | Jun 24, 2022 | -| 19 | **GPS** | No | 0.0862 | 0.0852 | Mila | [Ladislav Rampasek](mailto:rampasek@gmail.com) (Mila / Universite de Montreal) | [Paper](https://arxiv.org/abs/2205.12454), [Code](https://github.com/rampasek/GraphGPS) | 13,807,345 | 1 NVIDIA A100 (40GB) | Nov 10, 2022 | -| 20 | **CoAtGIN-base** | No | 0.0866 | 0.0859 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 9,938,433 | 8 NVIDIA A40 | Sep 30, 2022 | -| 21 | **EGT+LSPE+HIERA_clustering** | No | 0.0868 | 0.0863 | rwlspegate2 | [YEOM JE YOON](mailto:a01082177535@gmail.com) (University of Seoul) | [Paper](https://github.com/emforce77/rwlspegate2/blob/c3b83ac0a1f0d1dc67e3f59d928eb092dd797cd4/technical_report.pdf), [Code](https://github.com/emforce77/rwlspegate2.git) | 90,102,913 | NVIDIA A100 80GB HBM2E SXM4 | Feb 16, 2023 | -| 22 | **EGT** | No | 0.0872 | 0.0869 | EGT-AIRC | [Md Shamim Hussain](mailto:snirjhar@gmail.com) (RPI / IBM) | [Paper](https://arxiv.org/abs/2108.03348), [Code](https://github.com/shamim-hussain/egt_pytorch) | 89,326,465 | 8 Tesla V100 (32GB) | Jan 26, 2022 | -| 23 | **GRPE-Large** | No | 0.0876 | 0.0867 | WonWoo | [Wonpyo Park](mailto:wppark.pio@gmail.com) (SNU / Standigm) | [Paper](https://arxiv.org/abs/2201.12787), [Code](https://github.com/lenscloth/GRPE) | 118,300,000 | 8 A100-SXM4-40GB | Aug 14, 2022 | -| 24 | **GraphSelfAttention** | No | 0.0898 | 0.0890 | WonWoo | [Wonpyo Park](mailto:pionpark@gmail.com) (Standigm) | [Paper](https://arxiv.org/abs/2201.12787), [Code](https://github.com/lenscloth/GraphSelfAttention) | 46,199,041 | 4 A100 GPU | Nov 15, 2021 | -| 25 | **Deep graph transformer** | Yes | 0.0904 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 3, 2022 | -| 26 | **CoAtGIN-tiny** | No | 0.0908 | 0.0901 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 6,395,393 | 1 NVIDIA A40 | Sep 20, 2022 | -| 27 | **TokenGT (Lap)** | No | 0.0919 | 0.0910 | vl-kaist | [Jinwoo Kim](mailto:jinwoo-kim@kaist.ac.kr) (KAIST) | [Paper](https://arxiv.org/abs/2207.02505), [Code](https://github.com/jw9730/tokengt) | 48,492,289 | NVIDIA RTX 3090 x 8 | Aug 8, 2022 | -| 28 | **CoAtGIN-tiny** | No | 0.0921 | 0.0916 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 6,183,425 | 1 NVIDIA A40 | Sep 8, 2022 | -| 29 | **CoAtGIN-tiny** | No | 0.0935 | 0.0933 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 5,460,225 | NVIDIA A40 | Aug 29, 2022 | -| 30 | **HFAGNN** | No | 0.1010 | 0.1005 | Zhuque Zhejianglab | [Can Xu](mailto:leoxc1571@163.com) (Zhejiang Lab) | [Paper](https://github.com/Tigerrr07/HFAGNN/blob/master/technical_report.pdf), [Code](https://github.com/Tigerrr07/HFAGNN) | 3,949,959 | 1 NVIDIA TITAN V GPU(12GB memory) | Oct 30, 2022 | -| 31 | **GIN-virtual** | No | 0.1084 | 0.1083 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 6,656,406 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | -| 32 | **GCN-virtual** | No | 0.1152 | 0.1153 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 4,850,401 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | -| 33 | **GIN** | No | 0.1218 | 0.1195 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 3,761,406 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | -| 34 | **GraphGPS without PE (subset)** | No | 0.1395 | 0.1334 | GraphLARS | [Xu Wang](mailto:wangxu01@4paradigm.com) (4Paradigm && EE Tsinghua) | [Paper](https://arxiv.org/abs/2205.12454), [Code](https://github.com/rampasek/GraphGPS) | 6,155,089 | 1 RTX3090 (24GB GPU) | Sep 2, 2022 | -| 35 | **GCN** | No | 0.1398 | 0.1379 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 1,955,401 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | -| 36 | **MLP-Fingerprint** | No | 0.1760 | 0.1753 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 16,107,201 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | -| 37 | **MolNet_Ensemble** | Yes | 0.9899 | 0.0847 | polixir.ai | [xiaochuan zou](mailto:zouxiaochuan1984@gmail.com) (polixir.ai) | [Paper](https://github.com/zouxiaochuan/code_ogblsc2022/blob/main/molnet2022_arxiv.pdf), [Code](https://github.com/zouxiaochuan/code_ogblsc2022) | 32,047,874 | 8 RTX3090 | Oct 24, 2022 | +| 5 | **GraphGPT-L48(use 3D)** | No | 0.0709 | 0.0682 | Alibaba-DT | [Qifang Zhao](mailto:zhaoqf123@gmail.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 810,486,788 | 16 Nvidia L40S | Dec 31, 2024 | +| 6 | **GraphGPT(use 3D)** | No | 0.0717 | 0.0700 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 455,887,108 | 8 Nvidia L40S | Nov 30, 2024 | +| 7 | **GPS++** | Yes | 0.0720 | 0.0778 | GraphcoreValenceMILA | [Dominic Masters](mailto:dominicm@graphcore.ai) (Graphcore/Valence/MILA) | [Paper](https://github.com/graphcore/ogb-lsc-pcqm4mv2/raw/main/GPSplusplus.pdf), [Code](https://github.com/graphcore/ogb-lsc-pcqm4mv2) | 44,291,413 | Graphcore BOW-POD16 | Nov 18, 2022 | +| 8 | **MolNet_Ensemble** | Yes | 0.0753 | 0.0797 | polixir.ai | [zouxiaochuan](mailto:zouxiaochuan1984@gmail.com) (polixir.ai) | [Paper](https://github.com/zouxiaochuan/code_ogblsc2022/blob/main/molnet2022_arxiv.pdf), [Code](https://github.com/zouxiaochuan/code_ogblsc2022) | 32,047,874 | 8 RTX3090 | Nov 1, 2022 | +| 9 | **Global-ViSNet** | No | 0.0766 | 0.0784 | ViSNet | [Tong Wang](mailto:watong@microsoft.com) (Microsoft Research AI4Science) | [Paper](https://github.com/ogb-visnet/Global-ViSNet/blob/master/ViSNet_Tech_Report.pdf), [Code](https://github.com/ogb-visnet/Global-ViSNet) | 78,450,692 | 4 NVIDIA A100 GPUs | Oct 26, 2022 | +| 10 | **Transformer-M** | No | 0.0782 | 0.0772 | FML Lab@PKU | [Shengjie Luo](mailto:luosj@stu.pku.edu.cn) (Peking University) | [Paper](https://arxiv.org/abs/2210.01765), [Code](https://github.com/lsj2408/Transformer-M) | 68,957,249 | 4 NVIDIA Tesla A100 GPUs (40GB) | Oct 5, 2022 | +| 11 | **GraphGPT(MLM tv0)** | No | 0.0802 | 0.0800 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 453,388,801 | 4 Nvidia L40S | Aug 29, 2024 | +| 12 | **GraphGPT(MLM tv10k)** | No | 0.0804 | 0.0840 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 453,388,801 | 4 Nvidia L40S | Aug 21, 2024 | +| 13 | **GEM-2** | No | 0.0806 | 0.0793 | PaddleHelix | [Donglong He](mailto:hedonglong@baidu.com) (Baidu) | [Paper](https://arxiv.org/abs/2208.05863), [Code](https://github.com/PaddlePaddle/PaddleHelix/tree/dev/apps/pretrained_compound/ChemRL/GEM-2) | 32,086,707 | 16 NVIDIA A100 | Aug 11, 2022 | +| 14 | **GPTrans-L** | No | 0.0821 | 0.0809 | IMAGINE@NJU | [Zhe Chen](mailto:wztxy89@163.com) (Nanjing University) | [Paper](https://arxiv.org/abs/2305.11424), [Code](https://github.com/czczup/GPTrans/tree/main) | 85,995,713 | 8 NVIDIA A100 GPUs | Jun 6, 2023 | +| 15 | **GPTrans-T** | No | 0.0842 | 0.0833 | IMAGINE@NJU | [Zhe Chen](mailto:wztxy89@163.com) (Nanjing University) | [Paper](https://arxiv.org/abs/2305.11424), [Code](https://github.com/czczup/GPTrans/tree/main) | 6,577,697 | 8 NVIDIA A100 GPUs | Jun 14, 2023 | +| 16 | **Deep graph transformer** | Yes | 0.0843 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 26, 2022 | +| 17 | **Deep graph transformer** | Yes | 0.0844 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 19, 2022 | +| 18 | **Deep graph transformer** | Yes | 0.0852 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 11, 2022 | +| 19 | **GraphGPT(MLM pretrained)** | No | 0.0856 | 0.0847 | Alibaba-DT | [Qifang Zhao](mailto:james.zqf@alibaba-inc.com) (Alibaba) | [Paper](https://arxiv.org/abs/2401.00529), [Code](https://github.com/alibaba/graph-gpt) | 453,388,801 | 4 Nvidia L40S | Aug 11, 2024 | +| 20 | **EGT** | No | 0.0862 | 0.0857 | EFT-AIRC | [Md Shamim Hussain](mailto:snirjhar@gmail.com) (RPI / IBM) | [Paper](https://arxiv.org/abs/2108.03348), [Code](https://github.com/shamim-hussain/egt_pytorch) | 89,326,465 | 8 Tesla V100 (32GB) | Jun 24, 2022 | +| 20 | **GPS** | No | 0.0862 | 0.0852 | Mila | [Ladislav Rampasek](mailto:rampasek@gmail.com) (Mila / Universite de Montreal) | [Paper](https://arxiv.org/abs/2205.12454), [Code](https://github.com/rampasek/GraphGPS) | 13,807,345 | 1 NVIDIA A100 (40GB) | Nov 10, 2022 | +| 21 | **CoAtGIN-base** | No | 0.0866 | 0.0859 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 9,938,433 | 8 NVIDIA A40 | Sep 30, 2022 | +| 22 | **EGT+LSPE+HIERA_clustering** | No | 0.0868 | 0.0863 | rwlspegate2 | [YEOM JE YOON](mailto:a01082177535@gmail.com) (University of Seoul) | [Paper](https://github.com/emforce77/rwlspegate2/blob/c3b83ac0a1f0d1dc67e3f59d928eb092dd797cd4/technical_report.pdf), [Code](https://github.com/emforce77/rwlspegate2.git) | 90,102,913 | NVIDIA A100 80GB HBM2E SXM4 | Feb 16, 2023 | +| 23 | **EGT** | No | 0.0872 | 0.0869 | EGT-AIRC | [Md Shamim Hussain](mailto:snirjhar@gmail.com) (RPI / IBM) | [Paper](https://arxiv.org/abs/2108.03348), [Code](https://github.com/shamim-hussain/egt_pytorch) | 89,326,465 | 8 Tesla V100 (32GB) | Jan 26, 2022 | +| 24 | **GRPE-Large** | No | 0.0876 | 0.0867 | WonWoo | [Wonpyo Park](mailto:wppark.pio@gmail.com) (SNU / Standigm) | [Paper](https://arxiv.org/abs/2201.12787), [Code](https://github.com/lenscloth/GRPE) | 118,300,000 | 8 A100-SXM4-40GB | Aug 14, 2022 | +| 25 | **GraphSelfAttention** | No | 0.0898 | 0.0890 | WonWoo | [Wonpyo Park](mailto:pionpark@gmail.com) (Standigm) | [Paper](https://arxiv.org/abs/2201.12787), [Code](https://github.com/lenscloth/GraphSelfAttention) | 46,199,041 | 4 A100 GPU | Nov 15, 2021 | +| 26 | **Deep graph transformer** | Yes | 0.0904 | 0.0891 | NVIDIA-PCQM4Mv2 | [Jiwei Liu](mailto:jiweil@nvidia.com) (NVIDIA) | [Paper](https://github.com/daxiongshu/PCQM4Mv2_subs/blob/main/tech_report.pdf), [Code](https://github.com/daxiongshu/PCQM4Mv2_subs) | 63,600,000 | 1 NVIDIA V100 GPU 32 GB | Oct 3, 2022 | +| 27 | **CoAtGIN-tiny** | No | 0.0908 | 0.0901 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 6,395,393 | 1 NVIDIA A40 | Sep 20, 2022 | +| 28 | **TokenGT (Lap)** | No | 0.0919 | 0.0910 | vl-kaist | [Jinwoo Kim](mailto:jinwoo-kim@kaist.ac.kr) (KAIST) | [Paper](https://arxiv.org/abs/2207.02505), [Code](https://github.com/jw9730/tokengt) | 48,492,289 | NVIDIA RTX 3090 x 8 | Aug 8, 2022 | +| 29 | **CoAtGIN-tiny** | No | 0.0921 | 0.0916 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 6,183,425 | 1 NVIDIA A40 | Sep 8, 2022 | +| 30 | **CoAtGIN-tiny** | No | 0.0935 | 0.0933 | xfcui@sdu | [Xuefeng Cui](mailto:xfcui.uw@gmail.com) (Shandong University) | [Paper](https://www.biorxiv.org/content/10.1101/2022.08.26.505499v1), [Code](https://github.com/xfcui/CoAtGIN) | 5,460,225 | NVIDIA A40 | Aug 29, 2022 | +| 31 | **HFAGNN** | No | 0.1010 | 0.1005 | Zhuque Zhejianglab | [Can Xu](mailto:leoxc1571@163.com) (Zhejiang Lab) | [Paper](https://github.com/Tigerrr07/HFAGNN/blob/master/technical_report.pdf), [Code](https://github.com/Tigerrr07/HFAGNN) | 3,949,959 | 1 NVIDIA TITAN V GPU(12GB memory) | Oct 30, 2022 | +| 32 | **GIN-virtual** | No | 0.1084 | 0.1083 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 6,656,406 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | +| 33 | **GCN-virtual** | No | 0.1152 | 0.1153 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 4,850,401 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | +| 34 | **GIN** | No | 0.1218 | 0.1195 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 3,761,406 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | +| 35 | **GraphGPS without PE (subset)** | No | 0.1395 | 0.1334 | GraphLARS | [Xu Wang](mailto:wangxu01@4paradigm.com) (4Paradigm && EE Tsinghua) | [Paper](https://arxiv.org/abs/2205.12454), [Code](https://github.com/rampasek/GraphGPS) | 6,155,089 | 1 RTX3090 (24GB GPU) | Sep 2, 2022 | +| 36 | **GCN** | No | 0.1398 | 0.1379 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 1,955,401 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | +| 37 | **MLP-Fingerprint** | No | 0.1760 | 0.1753 | OGB-LSC | [Weihua Hu](mailto:weihua916@gmail.com) (Stanford) | [Paper](https://openreview.net/pdf?id=qkcLxoC52kL), [Code](https://github.com/snap-stanford/ogb/tree/master/examples/lsc/pcqm4m-v2) | 16,107,201 | 1 GeForce RTX 2080 (11GB GPU) | Sep 8, 2021 | +| 38 | **MolNet_Ensemble** | Yes | 0.9899 | 0.0847 | polixir.ai | [xiaochuan zou](mailto:zouxiaochuan1984@gmail.com) (polixir.ai) | [Paper](https://github.com/zouxiaochuan/code_ogblsc2022/blob/main/molnet2022_arxiv.pdf), [Code](https://github.com/zouxiaochuan/code_ogblsc2022) | 32,047,874 | 8 RTX3090 | Oct 24, 2022 | diff --git a/test-dev_master.csv b/test-dev_master.csv index 14970b8..0ad83b0 100644 --- a/test-dev_master.csv +++ b/test-dev_master.csv @@ -85,4 +85,4 @@ time,unique_identifier,dataset,method,ensemble,approved,test_performance,val_per 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 -2024/12/31,677404423c21c,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 +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