Gap report
Neural Message Passing for Quantum Chemistry
Gilmer J et al. · ICML, 2017
A relatively clean graph-learning paper to translate, with most uncertainty concentrated in environment-level details.
Specified
Message passing is the stated model family.
Quantum chemistry regression framing and targets are explicit.
Core reported metrics are available.
Partial
Implementation details depend on the graph library used in reproduction.
Missing
Pinned package versions and exact hardware assumptions.
Template fit
GNN regression
Confidence: High. Reported gaps: 2.
Next step
Use this example gap report as a review aid, then check the matching template coverage before relying on generated defaults for a real paper translation.