Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition
Bibliographic Data
| ID | 16859301 |
|---|---|
| Authors | Takayasu Fushimi (0000-0003-3448-8182, Tokyo University of Technology, corresponding author), Kazumi Saito (0000-0002-8972-5002, Kanagawa University), Hiroshi Motoda (Osaka Research Institute of Industrial Science and Technology) |
| Year | 2022 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2022-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-022-00956-y |
| OpenAlex | W4294405812 |
| Language | EN |
| References cited | 31 |
Algorithm · Computation · Inefficiency · Bioinformatics and Genomic Networks · Complex Network Analysis Techniques · Computer Science · Graph theory and applications · Theoretical Computer Science
| Highly cited | No |
|---|