89 citations · 264 across the 31 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.SI2021★ 5 cited
SHGNN: Structure-Aware Heterogeneous Graph Neural Network
Wentao Xu, Yingce Xia, Weiqing Liu +3
Many real-world graphs (networks) are heterogeneous with different types of nodes and edges. Heterogeneous graph embedding, aiming at learning the low-dimensional node representati…
cs.AI2021★ 4 cited
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
Zhiping Luo, Wentao Xu, Weiqing Liu +3
Learning the embeddings of knowledge graphs (KG) is vital in artificial intelligence, and can benefit various downstream applications, such as recommendation and question answering…
cs.LG2021★ 1 cited
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin, Dong Zhou, Weiqing Liu +1
Successful quantitative investment usually relies on precise predictions of the future movement of the stock price. Recently, machine learning based solutions have shown their capa…