A Lightweight Spatial Attention Module with Adaptive Receptive Fields in 3D Convolutional Neural Network for Alzheimer's Disease Classification. - Fei Yu; Baoqi Zhao; Qingqing Ge; Zhijie Zhang; Junmei Sun; Xiumei Li (ICPR Workshops (1), 2020)

Enhancing Graph Neural Networks with Structure-Based Prompt. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

Resist Label Noise with PGM for Graph Neural Networks. - Qingqing Ge; Jianxiang Yu 001; Zeyuan Zhao; Xiang Li 067 (CoRR, 2023)

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (ECML/PKDD (5), 2024)

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (ECML/PKDD (6), 2024)

Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples. - Jianxiang Yu 001; Qingqing Ge; Xiang Li 067; Aoying Zhou (IEEE Trans. Knowl. Data Eng., 2024)