152 citations · 299 across the 35 of their papers we have counts for
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cs.LG2019★ 36 cited
An Experimental Evaluation of Large Scale GBDT Systems
Fangcheng Fu, Jiawei Jiang, Yingxia Shao +1
Gradient boosting decision tree (GBDT) is a widely-used machine learning algorithm in both data analytic competitions and real-world industrial applications. Further, driven by the…
cs.AI2019★ 3 cited
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Yingxia Shao +1
Knowledge Graph (KG) embedding is a fundamental problem in data mining research with many real-world applications. It aims to encode the entities and relations in the graph into lo…