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Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning.

Luca CappellettiLauren RekerleTommaso FontanaPeter HansenElena CasiraghiVida RavanmehrChristopher John MungallJeremy J YangLeonard SprangerGuy KarlebachJ Harry CaufieldLeigh C CarmodyBen ColemanTudor I OpreaJustin T ReeseGiorgio ValentiniPeter Nick Robinson
Published in: Bioinformatics advances (2024)
Our code and data are publicly available at https://github.com/monarch-initiative/negativeExampleSelection.
Keyphrases
  • neural network
  • deep learning
  • machine learning
  • quality improvement
  • electronic health record
  • lymph node
  • big data
  • convolutional neural network
  • artificial intelligence
  • radiation therapy