Tianjian Guo
Biographic Data
| ID | 4029565 |
|---|---|
| NAME | Tianjian Guo |
| GIVEN NAMES | Tianjian |
| FAMILY NAME | Guo |
| SIGNATURE | GUO T |
| AFFILIATIONS | University of North Carolina at Chapel Hill |
| ORCID | 0000-0002-1111-3540 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Sampling methods and estimation of triangle count distributions in large networks
This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…
Sampling methods and estimation of triangle count distributions in large networks
This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…
Sampling methods and estimation of triangle count distributions in large networks
This paper investigates the distributions of triangle counts per vertex and edge, as a means for network description, analysis, model building, and other tasks. The main interest is in estimating these distributions through sampling, especially for large networks. A novel sampling method tailored for the estimation analysis is proposed, with three sampling designs motivated by several network access scenarios. An estimation method based on invers…
Advanced Graph Neural Networks (1 work) · Algorithm (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Computer vision (1 work) · Data mining (1 work) · Estimation (1 work) · Mathematics (1 work) · Sample (material (1 work) · Sampling (signal processing (1 work)