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Graph Neural Networks
An Introduction to Graph Neural Networks: Models and Applications
Lecture 11 - Graph Neural Networks (GNNs)
Intro to graph neural networks (ML Tech Talks)
Theoretical Foundations of Graph Neural Networks
Message Passing: How Graph Neural Networks Actually Work
Machine Learning with Graphs: Graph-level Features and Graph Kernels
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
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Last Updated: October 17, 2026
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Intro to GNNs, graphcs, adjacency matrix, neighbors, message passing, aggregation, updates, MSR Cambridge, AI Residency Advanced Lecture Series An Introduction to In this session of Machine Learning Tech Talks, Senior Research Scientist at DeepMind, Petar Veličković, will give an introductory ... Welcome to today's lectures uh on Ask your questions to the lecture here: tweedback.de/p43t/?l=en Lecture on Speaker: Ted Kyi Machine learning with Authors: Qingqing Long, Yilun Jin, Yi Wu, Guojie Song.
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