Name
Abstract | ||
|---|---|---|
Machine learning has been woven into statistics to modernize topic modeling over textual documents written in natural language, and scientific paper search and recommendation can consequently offer higher accuracy instead of counting on traditional keyword-based search. However, topic distribution of a paper resulted from existing topic modeling techniques only relies on the statistics of words co... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SMDS53860.2021.00014 | 2021 IEEE International Conference on Smart Data Services (SMDS) |
Keywords | DocType | ISBN |
Science knowledge graph,topic modeling,graph convolutional network | Conference | 978-1-6654-0058-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Zhang | 1 | 19 | 3.51 |
| Junhao Shen | 2 | 0 | 0.34 |
| Beichen Hu | 3 | 0 | 0.34 |
| Rahul Ramachandran | 4 | 117 | 29.54 |
| Tsengdar J. Lee | 5 | 23 | 5.62 |
| Kwo-Sen Kuo | 6 | 0 | 0.34 |
| Manil Maskey | 7 | 31 | 12.02 |
| Seungwon Lee | 8 | 127 | 32.51 |