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Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs2 results

Graph RegressiononPCQM4Mv2-LSC
Test MAE· 2021-03-17
0.176
best: 0.0683 (EGT + Triangular Attention)
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs arXiv:2103.09430
Graph RegressiononPCQM4Mv2-LSC
Validation MAE· 2021-03-17
0.1753
best: 0.0235 (ESA (Edge set attention, no positional encodings))
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs arXiv:2103.09430