ResearchBenchmarksMaterial Property Prediction on Material properties dataset Formation energy, Band gap, Fermi energyFor AI assistantsMarkdownContent indexMaterial Property Prediction on Material properties dataset Formation energy, Band gap, Fermi energyFollow0.166MAEMT-CGCNN0.158560.208780.2590.30922Nov 14, 2018Evaluation resultsMethodMethodLinksMAEImprovement (%)MT-CGCNNExperiment=E1Experiment=E12018.110.1668.3CGCNNExperiment=E1Experiment=E12018.110.181—MT-CGCNNExperiment=E2Experiment=E22018.110.2023.8CGCNNExperiment=E2Experiment=E22018.110.21—MT-CGCNNExperiment=E4Experiment=E42018.110.2364.4CGCNNExperiment=E4Experiment=E42018.110.247—MT-CGCNNExperiment=E3Experiment=E32018.110.3461.7CGCNNExperiment=E3Experiment=E32018.110.352—