Hands-on

All the hands-on videos and tutorials will be posted here.

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  Understanding Graphs with NetworkX
  tl;dr: In this tutorial we discussed NetwokX library to deal with Graph data.
  [notes] [codes] [Video]
  

  Suggested Readings:

  • Readings 1
• 

  Classification of Graph Data using Machine Learning Algorithm based on Graph features
  tl;dr: In this tutorial we discussed how to do classification on Graph data using it's features.
  [notes] [codes] [Video]
  

  Suggested Readings:

  • Readings 1
• 

  Node2Vec implimentation from scratch and classification of graph using node2vec generated embeddings.
  tl;dr: In this tutorial we discussed how to implement Node2Vec from scratch using python and do classification on Graph data using generated embeddings from node2vec.
  [notes] [codes] [Video]
  

  Suggested Readings:

  • Readings 1
• 

  Implementation of GCN and GAT using PyTorch (from scratch) and using PyTorch Geometric.
  tl;dr: In this tutorial we discussed how to implement GAT and GCN from scratch using python, PyTorch and do classification on Graph data using generated embeddings from GAT and GCN.
  [notes] [codes] [Video]
  

  Suggested Readings:

  • Readings 1