Главная
Study mode:
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Research/learning challenges
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What is Graph ML? We're all graphs
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Cool Graph ML applications
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Fake news and fundamental science
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Halicin a potent antibiotic discovered by a GNN
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Contrasting Graph ML with CV and NLP
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Resources - graph embedding methods
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Graph Neural Networks
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Top to bottom approach - high level resources
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Spatial methods
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Simple baselines sometimes work great!
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Parallel with CNNs
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GNN expressivity
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Dynamic graphs
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Unsupervised graph learning and geometric DL
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Datasets/benchmarks and newsletter
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GAT project
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Related research subfields
Description:
Explore the world of Graph Machine Learning in this comprehensive video walkthrough of a blog post. Dive into research tips, learn how to get started with Graph ML, and discover fascinating applications in various fields. Gain insights on graph embedding methods, Graph Neural Networks, and their parallels with CNNs. Explore topics such as GNN expressivity, dynamic graphs, and unsupervised graph learning. Get acquainted with datasets, benchmarks, and related research subfields. Perfect for those looking to understand the potential of Graph ML and its applications in fake news detection, fundamental science, and even antibiotic discovery.

How to Get Started With Graph ML - Blog Walkthrough

Aleksa Gordić - The AI Epiphany
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