During his studies, he developed a solid background in several areas, including algorithm design, graph theory, and machine learning. In January 2020, he received his joint Ph.D. from the University ...

To address these issues, we propose a graph theory based machine learning framework for analog circuits design automation. Specifically, we employ graph theory to evaluate the circuit transfer ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

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 ...

More information: Xiaorui Su et al, Interpretable identification of cancer genes across biological networks via ...