Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery

Published in Proceedings of 37th AAAI Conference on Artificial Intelligence, 2023

Recommended citation: In this work, inspired by the image kernel convolution, we propose a graph convolution method to extract graph representation for molecular classification. /files/pdf/research/MolKGNN.pdf