Network Analysis Resources & Updates

🎞 Machine Learning with Graphs: hyperbolic graph embeddings

💥Free recorded course by Prof. Jure Leskovec

💥 This part focused on graph representation learning in Euclidean embedding spaces. In this lecture, we introduce hyperbolic embedding spaces, which are great for modeling hierarchical, tree-like graphs. Moreover, we introduce basics for hyperbolic geometry models, which leads to the idea of hyperbolic GNNs. More details can be found in the paper: Hyperbolic Graph Convolutional Neural Networks

📽 Watch

📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning

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Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 19.2 - Hyperbolic Graph Embeddings

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Brc7vN

Jure Leskovec
Computer Science, PhD

In previous lectures, we focused on graph representation learning in Euclidean embedding…

www.tgoop.com/complexnetworkanalysis/1271

2.4K viewsJan 11 at 22:10

🎞 Machine Learning with Graphs: hyperbolic graph embeddings

💥Free recorded course by Prof. Jure Leskovec

💥 This part focused on graph representation learning in Euclidean embedding spaces. In this lecture, we introduce hyperbolic embedding spaces, which are great for modeling hierarchical, tree-like graphs. Moreover, we introduce basics for hyperbolic geometry models, which leads to the idea of hyperbolic GNNs. More details can be found in the paper: Hyperbolic Graph Convolutional Neural Networks

📽 Watch

📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning

BY Network Analysis Resources & Updates