GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques.
Maria Angela PellegrinoAbdulrahman AltabbaMartina GarofaloPetar RistoskiMichael CochezPublished in: ESWC (2020)
Keyphrases
- evaluation framework
- graph embedding
- discriminant analysis
- evaluation process
- low dimensional
- evaluation methodology
- semi supervised
- data representation
- dimensionality reduction
- semantic annotation
- data model
- feature representation
- evaluation measures
- subspace learning
- evaluation metrics
- object oriented
- feature extraction
- high dimensional
- co occurrence
- dictionary learning
- test set
- label information
- machine learning
- error rate
- information extraction
- reinforcement learning
- learning algorithm