Name
Abstract | ||
|---|---|---|
In this big data era, knowledge becomes increasingly linked, along with the rapid growth in data volume. Connected knowledge is naturally represented and stored as knowledge graphs, which are of more and more importance for many frontier research areas such as machine intelligence. Effectively finding relations between entities in a large knowledge graph plays a key role in many knowledge graph ap... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TBDATA.2018.2805363 | IEEE Transactions on Big Data |
Keywords | DocType | Volume |
Navigation,Semantics,Big Data,Monte Carlo methods,Machine intelligence,Games,Algorithm design and analysis | Journal | 8 |
Issue | ISSN | Citations |
3 | 2332-7790 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang He | 1 | 0 | 0.34 |
| Bin Shao | 2 | 664 | 25.84 |
| Yanghua Xiao | 3 | 482 | 54.90 |
| Yatao Li | 4 | 0 | 0.68 |
| Tie-yan Liu | 5 | 4662 | 256.32 |
| Enhong Chen | 6 | 2106 | 165.57 |
| Huanhuan Xia | 7 | 0 | 0.34 |