Delving into the Deep Benefits of the Graph Deep Learning Library
Go beyond traditional machine learning and understand why it's important to ‘go graph’ in this panel discussion. Explore why graph learning libraries came into existence to support graph-based machine learning, one of the driving forces behind TigerGraph's recent development of its Machine Learning Workbench. The panel will also discuss how graph and machine learning have merged to form new neural networks and what exactly the Deep Graph Library is, along with how both Amazon Web Services (AWS) and TigerGraph support this technology.
Neil Shah Lead Research Scientist at Snap, Inc
Victor Lee VP, Machine Learning at TigerGraph
Vikram Vunduru, Solutions Architect at AWS
George Karypis, Senior Principal Scientist at Amazon Web Services