4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
Yadong Zhou, Zhihao Ding, Xiaoming Liu +3
User attributes, such as gender and education, face severe incompleteness in social networks. In order to make this kind of valuable data usable for downstream tasks like user prof…
cs.LG2020★ 4 cited
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations
Xiaoming Liu, Qirui Li, Chao Shen +3
Graph convolution network (GCN) attracts intensive research interest with broad applications. While existing work mainly focused on designing novel GCN architectures for better per…
cs.SI2014★ 2 cited
A Feasible Graph Partition Framework for Random Walks Implemented by Parallel Computing in Big Graph
Xiaoming Liu, Yadong Zhou, Xiaohong Guan
Graph partition is a fundamental problem of parallel computing for big graph data. Many graph partition algorithms have been proposed to solve the problem in various applications,…