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2 years agoData science
Answering Causal Questions in AI
Graphical methods and Explainable AI are used to discover causal relationships.
Knowledge Graphs and Bayesian Belief Networks are commonly used graphical techniques to store and retrieve related information.
Knowledge Graph Convolutional Networks (KGCN) are a promising application for creating machine learning models that learn from causality. [ more ]