MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit.
John PalowitchBryan PerozziPublished in: CoRR (2019)
Keyphrases
- metadata
- digital libraries
- structured data
- training set
- random walk
- test set
- graph theoretic
- training phase
- learning resources
- learning objects
- training examples
- graph matching
- vector space
- graph theory
- training process
- supervised learning
- graph representation
- weighted graph
- training algorithm
- graph model
- databases
- bipartite graph
- multimedia
- high dimensional data
- semantic web
- online learning
- dimensionality reduction
- training data
- face recognition
- database
- dublin core
- metadata management