xGPR -- Gaussian process, graph convolution kernel

Reported on 2 benchmarks across 2 tasks · 1 paper

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

Miscellaneous1 result

Formation EnergyonQM9
MAE· 2023-02-07
0.167
best: 0.09 (TensorNet)
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability arXiv:2302.03294

Medical1 result

Atomistic DescriptiononQM9
MAE· 2023-02-07
0.167
best: 0.00467 (Uni-Mol)
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability arXiv:2302.03294