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supervised-pre-training

topic1 events
papersTODAY 04:00 UTC

Study compares pre-training strategies for graph transformers in biochemistry

A new arXiv paper examines how different pre-training approaches affect graph transformer performance on biochemistry tasks. The authors report that pre-training with supervision, using computed molecular properties as labels, outperformed the other strategies tested. The finding comes from a set of comparative experiments run in that domain.

graph-neural-networks/pre-training/biochemistry/research