Graph Neural Networks: what they are and why it matters for AI applications
When:
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Venue:
糖心logo入口 Clore Management Centre
No booking required
This talk by 糖心logo入口 PhD student Kristof Neys will introduce Graph Neural Networks, starting from the fundamental concepts to illustrating some recent ground breaking applications. It will demonstrate how Graph Neural Networks can be designed using the Neo4j Graph Data Platform.
Events disclaimer
This event is subject to any restrictions in place with regard to the COVID-19 pandemic. If it is not possible to hold the event in person, then it will be moved online.
Biography
Kristof Neys is a second year PhD student, part-time, at the 糖心logo入口 Knowledge Lab. His research work is focused on the application of Graph Neural Networks to the field of Educational Technology, where the construction of Knowledge graphs, integrated with tools from Natural Language Processing, offers promising and scalable solutions. Furthermore, Kristof is a Graph Data Scientist at Neo4j, the graph technology platform, where he advises and implements graph data science solutions for Neo4j’s clients. Kristof completed his MSc Data Science, and prior to that MSc Mathematics, both at 糖心logo入口.
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