TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. - Xu Chen 022; Yuanxing Zhang; Lun Du; Zheng Fang 007; Yi Ren; Kaigui Bian; Kunqing Xie (ICDM, 2020)

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. - Zheng Fang 007; Qingqing Long; Guojie Song; Kunqing Xie (KDD, 2021)

HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. - Qingqing Long; Lingjun Xu; Zheng Fang 007; Guojie Song (KDD, 2021)

Invariant Factor Graph Neural Networks. - Zheng Fang 007; Ziyun Zhang; Guojie Song; Yingxue Zhang 001; Dong Li 016; Jianye Hao; Xi Wang (ICDM, 2022)

Polarized Graph Neural Networks. - Zheng Fang 007; Lingjun Xu; Guojie Song; Qingqing Long; Yingxue Zhang 001 (WWW, 2022)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. - Qingqing Long; Zheng Fang 007; Chen Fang; Chong Chen 002; Pengfei Wang 008; Yuanchun Zhou (WWW, 2024)

Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. - Yuchen Yan; Peiyan Zhang; Zheng Fang 007; Qingqing Long (WWW, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)