  I build a melting temperature database that contains approximately 10,000
materials. Based on the database, I build a machine learning model that
predicts melting temperature in seconds. The model features graph neural
network and residual neural network architecture. The root-mean-square errors
of melting temperature are 90 and 160K for training and testing, respectively.
The model is deployed online and is publicly available.
