237 citations · 282 across the 9 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 4 cited
Multi-Label Graph Convolutional Network Representation Learning
Min Shi, Yufei Tang, Xingquan Zhu +1
Knowledge representation of graph-based systems is fundamental across many disciplines. To date, most existing methods for representation learning primarily focus on networks with…
cs.LG2019★ 2 cited
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Min Shi, Yufei Tang, Xingquan Zhu +1
Noise and inconsistency commonly exist in real-world information networks, due to inherent error-prone nature of human or user privacy concerns. To date, tremendous efforts have be…
cs.PF2019★ 12 cited
ClassyTune: A Performance Auto-Tuner for Systems in the Cloud
Yuqing Zhu, Jianxun Liu
Performance tuning can improve the system performance and thus enable the reduction of cloud computing resources needed to support an application. Due to the ever increasing number…