CoAtGIN: Marrying Convolution and Attention for Graph-based Molecule Property Prediction
Xuan Zhang, Cheng Chen, Zhaoxu Meng, Zhenghe Yang, Haitao Jiang, Xuefeng Cui
The paper introduces CoAtGIN, a graph neural network combining convolution and attention for molecule property prediction, achieving high performance with fewer parameters.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 6, 2022Peer-reviewedBioinformatics