Graph ML Research at Twitter with Michael Bronstein - Analysis
Research#Graph Machine Learning📝 Blog|Analyzed: Dec 29, 2025 08:01•
Published: Jul 23, 2020 19:11
•1 min read
•Practical AIAnalysis
This article from Practical AI discusses Michael Bronstein's work as Head of Graph Machine Learning at Twitter. The conversation covers the evolution of graph machine learning, Bronstein's new role, and the research challenges he faces, particularly scalability and dynamic graphs. The article highlights his work on differential graph modules for graph CNNs and their applications. The focus is on the practical application of graph machine learning within a real-world context, offering insights into the challenges and advancements in the field.
Key Takeaways
- •The article focuses on the practical application of graph machine learning at Twitter.
- •Key challenges discussed include scalability and working with dynamic graphs.
- •Michael Bronstein's work on differential graph modules for graph CNNs is highlighted.
Reference / Citation
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