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CS224W: Machine Learning with Graphs

• CS224w Stanford / Fall 2021 : Original Lecture Homepage
  • Schedule & Slides
• CS224w 강의 Playlist

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• Lecture 11.1 - Reasoning in Knowledge Graphs

  CS224W Lecture 11. Reasoning in Knowledge Graphs using Embeddings

  Aug 17, 2022

• Leture 9 - Theory of Graph Neural Networks

  CS224W Lecture 9. Theory of Graph Neural Networks

  Aug 10, 2022

• Lecture 0803

  Aug 3, 2022

• Lecture 0802

  Aug 3, 2022

• Lecture 8.1 - Graph Augmentation for GNNs

  CS224W Lecture 8.

  Aug 3, 2022

• Lecture 6.1 - Introduction to Graph Neural Networks

  CS224W Lecture 6. Graph Neural Networks (1) GNN Model

  Jul 27, 2022

• Lecture 6.3 - Deep Learning for Graphs

  CS224W Lecture 6. Graph Neural Networks (1) GNN Model

  Jul 27, 2022

• Lecture 6.2 - Basics of Deep Learning

  CS224W Lecture 6. Graph Neural Networks (1) GNN Model

  Jul 27, 2022

• Lecture 5.2 - Relational and Iterative Classification

  CS224W Lecture 5.

  Jul 20, 2022

• Lecture 5.3 - Collective Classification - Belief Propagation

  CS224W Lecture 5.

  Jul 20, 2022

• Lecture 5.1 - Message passing and Node Classification

  CS224W Lecture 5.

  Jul 20, 2022

• Lecture 4.4 - Matrix Factorization and Node Embeddings

  CS224W Lecture 4. Graph as Matrix

  Jul 13, 2022

• Lecture 4.3 - Random Walk with Restarts

  CS224W Lecture 4. Graph as Matrix

  Jul 13, 2022

• Lecture 4.2 - PageRank, How to Solve?

  CS224W Lecture 4. Graph as Matrix

  Jul 13, 2022

• Lecture 4.1 - PageRank

  CS224W Lecture 4. Graph as Matrix

  Jul 13, 2022