Evolution of Graph Algorithms: Benefits and Challenges | Ebru Cucen | Connected Data World 2021

In this podcast, Ebru Cucen explores the development and advantages of graph algorithms in machine learning. She takes us through the history of graph theory and its growing connection with machine learning, highlighting significant milestones such as the PageRank algorithm and the emergence of graph neural networks. Cucen points out how graph databases provide a more adaptable and efficient way to manage data, especially with new data sources, compared to traditional relational databases. She shares practical examples using graph query languages and visualization tools, illustrating the diverse applications of graphs in fields like recommendation systems and traffic network optimization. Ultimately, the podcast underscores the immense potential of graphs as a fundamental data format that enhances machine learning capabilities and streamlines data management.