213 citations · 773 across the 22 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 27 cited
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Zhining Liu, Pengfei Wei, Jing Jiang +3
Imbalanced learning (IL), i.e., learning unbiased models from class-imbalanced data, is a challenging problem. Typical IL methods including resampling and reweighting were designed…
cs.CL2020★ 213 cited
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
Bo Wang, Tao Shen, Guodong Long +2
Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion…
cs.LG2020★ 61 cited
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Qiang Huang, Makoto Yamada, Yuan Tian +3
Graph structured data has wide applicability in various domains such as physics, chemistry, biology, computer vision, and social networks, to name a few. Recently, graph neural net…