superlouis
PhD Graduate @ the University of South Carolina in Computer Science. Interested in Graphs, Materials Science, Bio-informatics.
AppleAustin, TX 78759 U.S.A.
Pinned Repositories
GATGNN
Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction
GATGNN-VOLTAGE
This software package implements the pytorch adaption of GATGNN-Voltage for the problem voltage prediction.
NODE-SELECT
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
Remaining-Useful-Strength
Remaining Useful Strength (RUS) Prediction of SiCf-SiCm Composite Materials https://www.mdpi.com/2076-3417/10/8/2680/pdf
deeperGATGNN
Scalable graph neural networks for materials property prediction
superlouis's Repositories
superlouis/GATGNN
Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction
superlouis/NODE-SELECT
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
superlouis/GATGNN-VOLTAGE
This software package implements the pytorch adaption of GATGNN-Voltage for the problem voltage prediction.
superlouis/Remaining-Useful-Strength
Remaining Useful Strength (RUS) Prediction of SiCf-SiCm Composite Materials https://www.mdpi.com/2076-3417/10/8/2680/pdf