OpenCodePapers

graph-regression-on-pcqm4m-lsc

Graph Regression
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PaperCodeTest MAEValidation MAEModelNameReleaseDate
Do Transformers Really Perform Bad for Graph Representation?✓ Link13.280.1234Graphormer 2021-06-09
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs✓ Link14.870.1396GIN-virtual2021-03-17
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs✓ Link15.790.1536GCN-Virtual2021-03-17
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs✓ Link16.78GIN2021-03-17
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs✓ Link18.380.1684GCN2021-03-17
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs✓ Link20.680.2044MLP-fingerprint2021-03-17
O-GNN: Incorporating Ring Priors into Molecular Modeling✓ Link0.1148O-GNN2023-05-01
Graph Propagation Transformer for Graph Representation Learning✓ Link0.1151GPTrans-L2023-05-19
Graph Convolutions Enrich the Self-Attention in Transformers!✓ Link0.1193Graphormer + GFSA2023-12-07
Global Self-Attention as a Replacement for Graph Convolution✓ Link0.1224EGT2021-08-07
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs✓ Link0.1263Higher-Order Transformer2021-10-27
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