Name
Abstract | ||
|---|---|---|
Diffusion-based classifiers such as those relying on the Personalized PageRank and the heat kernel enjoy remarkable classification accuracy at modest computational requirements. Their performance however is affected by the extent to which the chosen diffusion captures a typically unknown label propagation mechanism, which can be specific to the underlying graph, and potentially different for each ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2018.2889984 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Heating systems,Kernel,Signal processing algorithms,Measurement,Network topology,Scalability,Adaptation models | Journal | 67 |
Issue | ISSN | Citations |
5 | 1053-587X | 6 |
PageRank | References | Authors |
0.45 | 30 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitris Berberidis | 1 | 45 | 7.47 |
| Athanasios N. Nikolakopoulos | 2 | 59 | 9.02 |
| Georgios B. Giannakis | 3 | 4977 | 340.58 |