This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning.

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

On Thursday the 24th of August 2023, M.Sc. Arpit Merchant defends his PhD thesis on Applications of Node Embeddings to Learning and Mining on Graphs. The thesis is related to research done in the ...

We consider the problem of learning causal information between random variables in directed acyclic graphs (DAGs) when allowing arbitrarily many latent and selection variables. The FCI (Fast Causal ...

The AdvanceRIT Learning Circle was held throughout the Fall 2021 semester. The purpose of the learning circle was to set up a supportive network of women faculty on topics related to career success ...