Graph ML Research at Twitter with Michael Bronstein - #394
2020-07-23 · 55 min · episode 394 · 13 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Graph ML Research at Twitter with Michael Bronstein - #394
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Feed author/publisher: Sam Charrington
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Feed category: Tech News
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Feed author/publisher: TWIML
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Graph ML Research at Twitter with Michael Bronstein - #394
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0.70
evidence rules-v4
Feed author/publisher: Sam Charrington
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0.55
evidence rules-v4
Feed author/publisher: Sam Charrington
podcasts 1
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Graph ML Research at Twitter with Michael Bronstein - #394
Episode description as stored
Today we’re excited to be joined by return guest Michael Bronstein, Head of Graph Machine Learning at Twitter. In our conversation, we discuss the evolution of the graph machine learning space, his new role at Twitter, and some of the research challenges he’s faced, including scalability and working with dynamic graphs. Michael also dives into his work on differential graph modules for graph CNNs, and the various applications of this work.