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Release 2.0.0

Features

  • Edge Prediction
  • Builds a GNN Model
  • Train an XGBoost model to predict fraud scores
  • Uses Wholegraph and cuGraph to encapsulate graph storage and complexity efficiently
  • Support to use XGBoost modeling optionally without GNN embeddings

Release 1.0.0

Features

  • Node Prediction
  • Builds a GNN Model
  • Train an XGBoost model to predict fraud scores
  • Uses Wholegraph and cuGraph to efficiently encapsulate graph storage and complexity
  • Support to optionally us XGBoost modeling without GNN embeddings