29 citations · 44 across the 11 of their papers we have counts for
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cs.LG2022
Learning the Network of Graphs for Graph Neural Networks
Yixiang Shan, Jielong Yang, Xing Liu +3
Graph neural networks (GNNs) have achieved great success in many scenarios with graph-structured data. However, in many real applications, there are three issues when applying GNNs…
cs.LG2020
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting
Yuexin Zhang, Jiahong Wang
A deep-learning-based hybrid strategy for short-term load forecasting is presented. The strategy proposes a novel tree-based ensemble method Warm-start Gradient Tree Boosting (WGTB…
cs.LG2018
Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery
Lahiru Jayasinghe, Tharaka Samarasinghe, Chau Yuen +2
Accurately estimating the remaining useful life (RUL) of industrial machinery is beneficial in many real-world applications. Estimation techniques have mainly utilized linear model…