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Tools, Techniques and Best Practices

  • Explain the rationale and aim
  • Give examples of some tools and applications
  • Radius-graph/knn from FAISS
  • Edge matching
  • Truth graph builder (Pandas building, would be nice to get this on CuPy)
  • Triplet selection (possibly use the PyEmbedding version - benchmark)
  • Triplet/line graph converter
  • Checkpointing
  • Mixed precision
  • Remove duplicate edges
  • Cell feature calculation
  • Training best practices (data balancing, hard negative mining, load balancing)