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Zheng Fang
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Spatial-temporal graph ode networks for traffic flow forecasting
Z Fang, Q Long, G Song, K Xie
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
3602021
A comprehensive survey on deep graph representation learning
W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ...
Neural Networks, 106207, 2024
1022024
Tssrgcn: Temporal spectral spatial retrieval graph convolutional network for traffic flow forecasting
X Chen, Y Zhang, L Du, Z Fang, Y Ren, K Bian, K Xie
2020 IEEE International Conference on Data Mining (ICDM), 954-959, 2020
352020
Polarized Graph Neural Networks
Z Fang, L Xu, G Song, Q Long, Y Zhang
Proceedings of the ACM Web Conference 2022, 1404-1413, 2022
252022
Hgk-gnn: Heterogeneous graph kernel based graph neural networks
Q Long, L Xu, Z Fang, G Song
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
202021
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective
Y Yan, P Zhang, Z Fang, Q Long
Proceedings of the ACM on Web Conference 2024, 4328-4339, 2024
62024
Invariant factor graph neural networks
Z Fang, Z Zhang, G Song, Y Zhang, D Li, J Hao, X Wang
2022 IEEE International Conference on Data Mining (ICDM), 933-938, 2022
52022
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
Q Long, Z Fang, C Fang, C Chen, P Wang, Y Zhou
Proceedings of the ACM on Web Conference 2024, 1035-1044, 2024
42024
Towards Graph Prompt Learning: A Survey and Beyond
Q Long, Y Yan, P Zhang, C Fang, W Cui, Z Ning, M Xiao, N Cao, X Luo, ...
arXiv preprint arXiv:2408.14520, 2024
2024
Polarized Graph Neural Networks
Z Fang, L Xu, G Song, Q Long, Y Zhang
Proceedings of the ACM Web Conference 2022, 1404-1413, 2022
2022
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
Z Fang, C Fang, C Chen, Y Zhou
The Web Conference 2024, 0
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Articles 1–11