The following publications are possibly variants of this publication:
- HimGNN: a novel hierarchical molecular graph representation learning framework for property predictionShen Han, Haitao Fu, Yuyang Wu, Ganglan Zhao, Zhenyu Song, Feng Huang, Zhongfei Zhang, Shichao Liu, Wen Zhang 0008. bib, 24(5), September 2023. [doi]
- Geometry-enhanced molecular representation learning for property predictionXiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu 0003, Haifeng Wang 0001. natmi, 4(2):127-134, 2022. [doi]
- Structured Multi-task Learning for Molecular Property PredictionShengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang 0005. aistats 2022: 8906-8920 [doi]
- Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation GraphsWei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo 0001, Ming Zhang 0004. NN, 163:122-131, 2023. [doi]
- MG-BERT: leveraging unsupervised atomic representation learning for molecular property predictionXiao-Chen Zhang, Cheng-Kun Wu, Zhi-Jiang Yang, Zhen-Xing Wu, Jia-Cai Yi, Chang-Yu Hsieh, Tingjun Hou, Dong-Sheng Cao 0001. bib, 22(6), 2021. [doi]
- A Novel Molecular Representation Learning for Molecular Property Prediction with a Multiple SMILES-Based AugmentationChunyan Li, Jihua Feng, Shihu Liu, Junfeng Yao. cin, 2022, 2022. [doi]