4 citations · 7 across the 5 of their papers we have counts for
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cs.LG2024★ 1 cited
Why are hyperbolic neural networks effective? A study on hierarchical representation capability
Shicheng Tan, Huanjing Zhao, Shu Zhao +1
Hyperbolic Neural Networks (HNNs), operating in hyperbolic space, have been widely applied in recent years, motivated by the existence of an optimal embedding in hyperbolic space t…
cs.LG2022★ 4 cited
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
Wenjie Zheng, Wenxue Wang, Shu Zhao +1
Knowledge graph embeddings (KGE) have been validated as powerful methods for inferring missing links in knowledge graphs (KGs) that they typically map entities into Euclidean space…
cs.LG2019★ 1 cited
Discriminative Consistent Domain Generation for Semi-supervised Learning
Jun Chen, Heye Zhang, Yanping Zhang +6
Deep learning based task systems normally rely on a large amount of manually labeled training data, which is expensive to obtain and subject to operator variations. Moreover, it do…