2 citations · 2 across the 5 of their papers we have counts for
5 papers
A Review: Random Walk in Graph Sampling
Xiao Qi
Graph sampling is a technique to pick a subset of vertices and/ or edges from original graph. Among various graph sampling approaches, Traversal Based Sampling (TBS) are widely use…
Efficient Random Walk based Sampling with Inverse Degree
Xiao Qi
Random walk sampling methods have been widely used in graph sampling in recent years, while it has bias towards higher degree nodes in the sample. To overcome this deficiency, clas…
Weighted Jump in Random Walk Graph Sampling
Xiao Qi
Random walk based sampling methods have been widely used in graph sampling in recent years, while it has bias towards higher degree nodes in the sample. To overcome this deficiency…
An efficient numerical approach for stochastic evolution PDEs driven by random diffusion coefficients and multiplicative noise
X. Qi, M. Azaiez, C. Huang +1
In this paper, we investigate the stochastic evolution equations (SEEs) driven by -Whittle-Matrn (W-M) random diffusion coefficient field and -Wiener m…
Sampling Online Social Networks: Metropolis Hastings Random Walk and Random Walk
Xiao Qi
As social network analysis (SNA) has drawn much attention in recent years, one bottleneck of SNA is these network data are too massive to handle. Furthermore, some network data are…