ML Research Wiki / Benchmarks / Graph Regression / PCQM4Mv2-LSC

PCQM4Mv2-LSC

Graph Regression Benchmark

Performance Over Time

📊 Showing 20 results | 📏 Metric: Validation MAE

Top Performing Models

Rank Model Paper Validation MAE Date Code
1 MLP-Fingerprint OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs 0.18 2021-03-17 📦 dmlc/dgl 📦 snap-stanford/ogb 📦 graphcore/ogb-lsc-pcqm4mv2
2 GCN Semi-Supervised Classification with Graph Convolutional Networks 0.14 2016-09-09 📦 dmlc/dgl 📦 dmlc/dgl 📦 tkipf/gcn
3 GIN How Powerful are Graph Neural Networks? 0.12 2018-10-01 📦 dmlc/dgl 📦 dmlc/dgl 📦 weihua916/powerful-gnns
4 TokenGT Pure Transformers are Powerful Graph Learners 0.09 2022-07-06 📦 jw9730/tokengt 📦 luis-mueller/wl-transformers
5 EGT+SSA The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles 0.09 2023-06-02 📦 shamim-hussain/ssa
6 GRPE-Large GRPE: Relative Positional Encoding for Graph Transformer 0.09 2022-01-30 📦 lenscloth/grpe
7 EGT+SSA+Self-ensemble The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles 0.09 2023-06-02 📦 shamim-hussain/ssa
8 Graphormer Do Transformers Really Perform Bad for Graph Representation? 0.09 2021-06-09 📦 microsoft/Graphormer 📦 Microsoft/Graphormer 📦 dpstart/graphormer_new 📦 ytchx1999/Graphormer 📦 yangyucheng000/University
9 Graphormer + GFSA Graph Convolutions Enrich the Self-Attention in Transformers! 0.09 2023-12-07 📦 jeongwhanchoi/gfsa
10 GRIT Graph Inductive Biases in Transformers without Message Passing 0.09 2023-05-27 📦 liamma/grit 📦 linusbao/MoSE

All Papers (20)