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Representation Learning on Graphs and Networks - Dr. Petar Veličković
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.1 - Traditional Feature-based Methods: Node
AI Explained - Graph Neural Networks | How AI Uses Graphs to Accelerate Innovation
Part208: structure aware transformer for graph representation learning
Gerard presents: Inductive Representation Learning on Large Graphs
An Introduction to Graph Neural Networks
[NeurIPS 2022] Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
Da Xu (Walmart Labs): Inductive Representation Learning on Temporal Graphs | AISC
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Last Updated: August 16, 2026
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![[NeurIPS 2022] Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs](https://i.ytimg.com/vi/oUy6eSdOhms/mqdefault.jpg)
