4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2021
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
Ling Chen, Jun Cui, Xing Tang +4
Although the state-of-the-art traditional representation learning (TRL) models show competitive performance on knowledge graph completion, there is no parameter sharing between the…
cs.LG2021
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
Ling Chen, Jiahui Xu, Binqing Wu +4
The problem of air pollution threatens public health. Air quality forecasting can provide the air quality index hours or even days later, which can help the public to prevent air p…
cs.CV2020★ 4 cited
Collaboratively boosting data-driven deep learning and knowledge-guided ontological reasoning for semantic segmentation of remote sensing imagery
Yansheng Li, Song Ouyang, Yongjun Zhang
As one kind of architecture from the deep learning family, deep semantic segmentation network (DSSN) achieves a certain degree of success on the semantic segmentation task and obvi…