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What does graph have to do with machine learning?
A lot, actually. Machine learning, and its deep learning subdomain, make a great match for graphs. Machine learning on graphs is an emergent technology full of promise.
Say hello to our Speakers
We couldn't be more excited about our lineup. Which talks will you be checking out?
Learn from Leaders and Innovators
We have kept an eye on this extraordinarily promising approach
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Alena Vasilevich Computational Linguist, Coreon GmbH
Machine Learning-powered Taxonomization: AI Lends Taxonomists a Hand
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How to get started with Graph Machine Learning
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Bob van Luijt CEO & Co-Founder, SeMI Technologies
How businesses apply AI-first solutions in production with the Weaviate Vector Search Engine
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Paco Nathan Managing Partner, Derwen, Inc.
Graph-Based Data Science: Hybrid AI meets data science process
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Tara Safavi Researcher, University of Michigan
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
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Ashleigh Faith, Aleksa Gordic, Paco Nathan, Bob van...
Connected Data Community Hour
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Paco Nathan Managing Partner, Derwen, Inc.
Graph-Based Data Science Masterclass
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"Adding more context to machine learning, using taxonomies and knowledge graphs" Masterclass
Learn from amazing companies like these
2 days of Presentations, Masterclasses, and Community interaction
From best practices and principles to nitty-gritty details.
From ahead-of-the-curve innovation to mainstream adoption.
View the schedule
The first 2021 event focused on graph-based data science & machine learning
Join us in learning from our select group of speakers, spreading the knowledge, exchanging experience and networking
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