The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer

Maarten Buyl, Tijl De Bie

Learning and reasoning over graphs is increasingly done by means of probabilistic models, e.g. exponential random graph models, graph embedding models, and graph neural networks. W…