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CatalysisMat

Pearson Correlation Coefficient (PCC) values representing the generalizability of GNN models in catalysis-related datasets. The table compares problem-specific GNN models (first eight rows) with generalized or unified models. The values provide insights into the performance and transferability of GNN models across different adsorption environments, illustrating their potential to predict catalytic behavior in both targeted and broad catalytic systems.

Reference: https://doi.org/10.26434/chemrxiv-2024-hj733

NamesLinks
tinnet_N-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/tinnet_N_ead
tinnet_O-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/tinnet_O_ead
tinnet_OH-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/tinnet_OH_ead
AGRA_O-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/AGRA_O_ead
AGRA_OH-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/AGRA_OH_ead
AGRA_CO-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/AGRA_CO_ead
AGRA_COOH-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/AGRA_COOH_ead
AGRA_CHO-eadhttps://pages.nist.gov/jarvis_leaderboard/AI/SinglePropertyPrediction/AGRA_CHO_ead