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Node Classification using Graph Neural Networks

Contributors
Total time needed: ~2 hours
Objectives
This recipe contains a few resources for the task of predicting a missing propery of a node in graph data
Potential Use Cases
outlier detection in network
Who is This For ?
INTERMEDIATEdata scientists
Click on each of the following annotated items to see details.
Resource Asset5/7
VIDEO 1. Simple Graph Convolution
  • What is a simple way to use convolution to get graph embeddings?
8 minutes
VIDEO 2. Graph Attention Networks
  • How can attention be used to obtain graph embeddings?
5 minutes
REPO 3. Node Classification using Graph Attention Networks
  • How can GAT be used to classify node properties?
20 minutes
OTHER 4. Neo4J Node Properties
  • What are some possible node properties of interest?
10 minutes
REPO 5. Node Classification using Simple Graph Convolution
  • How can SGC be used to predict node properties?
20 minutes
VIDEO 6. Deep Walk and Node2Vec
  • How can "deep walk" and "node2vec" be used to obtain graph embeddings?
10 minutes
RECIPE 7. Node Classification using Graph Neural Networks
10 minutes

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