1 min readfrom InfoQ

Presentation: Reimagining Platform Engagement with Graph Neural Networks

Presentation: Reimagining Platform Engagement with Graph Neural Networks

Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.

By Mariia Bulycheva

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#generative AI for data analysis
#Excel alternatives for data analysis
#natural language processing for spreadsheets
#big data management in spreadsheets
#machine learning in spreadsheet applications
#conversational data analysis
#real-time data collaboration
#intelligent data visualization
#data visualization tools
#enterprise data management
#big data performance
#data analysis tools
#data cleaning solutions
#rows.com
#financial modeling with spreadsheets
#Graph Neural Networks
#deep learning
#message passing
#Zalando
#heterogeneous graphs