A Graph Data Augmentation Strategy with Entropy Preserving. - Xue Liu; Dan Sun 007; Wei Wei 020 (CoRR, 2021)

Graph classification based on skeleton and component features. - Xue Liu; Wei Wei 020; Xiangnan Feng; Xiaobo Cao; Dan Sun 007 (Knowl. Based Syst., 2021)

Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation. - Xue Liu; Dan Sun 007; Wei Wei 020 (Pattern Recognit., 2022)

An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics. - Xue Liu; Dan Sun 007; Wei Wei 020; Zhiming Zheng 001 (CoRR, 2023)

Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification. - Xue Liu; Qian Cheng; Dan Sun 007; Wei Wei 020; Zhiming Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies. - Xue Liu; Dan Sun 007; Xiaobo Cao; Hao Ye; Wei Wei 020 (IEEE Trans. Knowl. Data Eng., 2024)

Graph classification by converting static graphs into dynamic evolutionary sequences. - Xue Liu; Dan Sun 007; Wei Wei 020 (Expert Syst. Appl., 2025)

Enhancing Molecular Contrastive Prediction by Recognizing Metric Distribution Separation. - Xue Liu; Dan Sun 007 (IEEE Trans. Comput. Biol. Bioinform., 2025)