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Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.1 - Node Embeddings
04 Wilfrid Luo - Neural Networks & Embeddings
Project Presentation on Learning Structural Node Embeddings via Diffusion Wavelets (ACM, 2018)
Network embedding: A short introduction to the core concepts
Heterogeneous Network Embedding via Deep Architectures
DeepWalk: Turning Graphs Into Features via Network Embeddings
LINE: Large-scale Information Network Embedding (Machine Learning with Graphs)
KDD 2020 Presentation: Graph Structural-topic Neural Networks
Lecture 8.2: Graph and node embedding
Graph Neural Networks - a perspective from the ground up
Deep Metric Learning via Lifted Structured Feature Embedding
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Last Updated: August 17, 2026
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