Probabilistic Graphical Model Visualization
Probabilistic Graphical Model Visualization is a computational method for representing the structure and probabilistic dependencies of a probabilistic graphical model through visual formalisms such as nodes, edges, and graphical annotations to facilitate interpretation, analysis, and communication of uncertainty and conditional relationships.
24
Publications
1K
Citations
78
Authors
44
Institutions
Publications per year
2017–2026
12
Parents
24
iTopicModel: Information Network-Integrated Topic Modeling
Yizhou Sun, Jiawei Han, Jing Gao et al. · 2009 · 151 citations
The FLDA model for aspect-based opinion mining
Samaneh Moghaddam, Martin Ester · 2013 · 78 citations
1–5 of 24
78
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 78
44
Tsinghua University
Beijing, China
3 h-index
6 publications
385 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
72 citations
University of Kassel
Kassel, Germany
2 h-index
2 publications
82 citations

Universidade do Porto
Porto, Portugal
2 h-index
2 publications
36 citations
Northwest University
Xi'an, China
2 h-index
7 publications
422 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
68 citations
University of Regensburg
Regensburg, Germany
2 h-index
4 publications
102 citations
Instituto de Telecomunicações
Lisbon, Portugal
1 h-index
1 publications
24 citations
1–8 of 44
4 publications · 133 citations
4
h-index
NSE · 1 publications · 21 citations
1
h-index
1 publications · 24 citations
1
h-index
CAGEO · 1 publications · 31 citations
1
h-index
1 publications · 27 citations
1
h-index
1–5