The code and datasets used for the recent work called: "Property Prediction of Fuel Mixtures using Pooled Graph Neural Networks". These files contain the code and datasets for reproducing the results
The entity alignment task aims to match semantically corresponding entities in different knowledge graphs, which is important for knowledge fusion. Traditional graph-based methods often lose informati
datasets used for X2-GNN's training and testing AID/OCELOT : AID_allprop.xyz, ocelot_all_prop.xyz, QM9@XYGJ-OS : qm9_xygjos.xyz, OCELOT@XYGJ-OS :ocelot_xygjos.tar.gz, polyene/alkan
