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Graph-based Machine Learning with Apache Hugegraph

Overview

Skills Needed

Learn to apply machine learning techniques to graphs with Apache Hugegraph. Explore graph embeddings, graph neural networks, and graph-based recommendation systems with Hugegraph.

  • Intermediate knowledge of Apache Hugegraph fundamentals
  • Familiarity with machine learning concepts

Outline

  • Introduction to Graph-based Machine Learning
  • Graph Embedding Techniques
  • Graph Neural Networks (GNNs)
  • Graph Convolutional Networks (GCNs)
  • Graph Attention Networks (GATs)
  • Graph-based Recommendation Systems
  • Node Classification and Link Prediction
  • Graph Similarity Learning
  • Adversarial Attacks on Graphs
  • Case Studies in Graph-based ML with Hugegraph

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