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N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules

NeurIPS 2019 · Graph learning › Graph self-supervised learning · approach: Molecular graph pretraining · 104 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use N-Gram Graph instead of ECFP with RFRF · Delaney testRMSE: 1.251 -> 0.802Helped
Use N-Gram Graph instead of ECFP with RFRF · Malaria testRMSE: 1.011 -> 1.011No clear effect
Use N-Gram Graph instead of ECFP with RFRF · CEP testRMSE: 1.667 -> 1.367Helped
Use N-Gram Graph instead of ECFP with XGBXGB · Delaney testRMSE: 1.120 -> 0.771Helped
Use N-Gram Graph instead of ECFP with XGBXGB · Malaria testRMSE: 0.998 -> 1.003Hurt
Use N-Gram Graph instead of ECFP with XGBXGB · CEP testRMSE: 1.442 -> 1.296Helped
Use N-Gram Graph instead of ECFP with DNNDNN · Delaney testRMSE: 1.40 -> 0.665Helped
Use N-Gram Graph instead of ECFP with DNNDNN · Malaria testRMSE: 1.13 -> 1.085Helped
Use N-Gram Graph instead of ECFP with DNNDNN · CEP testRMSE: 2.00 -> 1.359Helped

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