🎞 Machine Learning with Graphs: Theory of Graph Neural Networks
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
📽 Watch: part1 part2 part3
📝Slides
💻code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
💥Free recorded course by Jure Leskovec, Computer Science, PhD
💥The topics: Introduction to Graph Neural Networks, A Single Layer of a GNN, Stacking layers of a GNN
📽 Watch: part1 part2 part3
📝Slides
💻code
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #code #python
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.1 - A general Perspective on GNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BjIqNd
Lecture 7.1 - A General Perspective on Graph Neural Networks
Jure Leskovec
Computer Science, PhD
In this lecture, we introduce…
Lecture 7.1 - A General Perspective on Graph Neural Networks
Jure Leskovec
Computer Science, PhD
In this lecture, we introduce…
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