2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Asymmetric Graph Representation Learning
Zhuo Tan, Bin Liu, Guosheng Yin
Despite the enormous success of graph neural networks (GNNs), most existing GNNs can only be applicable to undirected graphs where relationships among connected nodes are two-way s…
cs.CV2020
Learning a Deep Part-based Representation by Preserving Data Distribution
Anyong Qin, Zhaowei Shang, Zhuolin Tan +2
Unsupervised dimensionality reduction is one of the commonly used techniques in the field of high dimensional data recognition problems. The deep autoencoder network which constrai…