It is an evaluation framework for evaluating and comparing graph embedding techniques
Dataset | Semantic of classes | Classes | Size | Source |
---|---|---|---|---|
Cities | Living style | 3 | 212 | Mercer |
AAUP | Salary of professors | 3 | 960 | JSE |
Forbes | Agency income | 3 | 1,585 | Forbes |
Albums | Album popularity | 2 | 1,600 | Metacritic |
Movies | Movie popularity | 2 | 2,000 | Metacritic |
Model | Configuration |
---|---|
Naive Bayes | - |
C 4.5 decision tree | - |
k-NN | k=3 |
Support Vector Machine | C = {10^{-3}, 10^{-2}, 0.1, 1, 10, 10^2, 10^3} |
Missing entities are simply ignored.
The results are calculated using stratified 10-fold cross-validation.
Metric | Range | Optimum |
---|---|---|
Accuracy | [0,1] | Highest |