34 citations · 111 across the 7 of their papers we have counts for
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cs.LG2022★ 13 cited
Quantized Training of Gradient Boosting Decision Trees
Yu Shi, Guolin Ke, Zhuoming Chen +2
Recent years have witnessed significant success in Gradient Boosting Decision Trees (GBDT) for a wide range of machine learning applications. Generally, a consensus about GBDT's tr…
cs.LG2022★ 26 cited
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
Yu Shi, Shuxin Zheng, Guolin Ke +7
This technical note describes the recent updates of Graphormer, including architecture design modifications, and the adaption to 3D molecular dynamics simulation. With these simple…