Zonghan Wu
Zonghan Wu
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A comprehensive survey on graph neural networks
Z Wu, S Pan, F Chen, G Long, C Zhang, SY Philip
IEEE transactions on neural networks and learning systems 32 (1), 4-24, 2020
Graph wavenet for deep spatial-temporal graph modeling
Z Wu, S Pan, G Long, J Jiang, C Zhang
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Personalized federated learning with graph
F Chen, G Long, Z Wu, T Zhou, J Jiang
(IJCAI) International Joint Conference on Artificial Intelligence 2022, 2575 …, 2022
Spatio-temporal joint graph convolutional networks for traffic forecasting
C Zheng, X Fan, S Pan, H Jin, Z Peng, Z Wu, C Wang, SY Philip
IEEE Transactions on Knowledge and Data Engineering, 2023
Heterogeneous graph attention network for small and medium-sized enterprises bankruptcy prediction
Y Zheng, VCS Lee, Z Wu, S Pan
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 140-151, 2021
Traversenet: Unifying space and time in message passing for traffic forecasting
Z Wu, D Zheng, S Pan, Q Gan, G Long, G Karypis
IEEE Transactions on Neural Networks and Learning Systems, 2022
Beyond low-pass filtering: Graph convolutional networks with automatic filtering
Z Wu, S Pan, G Long, J Jiang, C Zhang
IEEE Transactions on Knowledge and Data Engineering, 2022
Collaborative filtering fusing label features based on SDAE
H Huo, X Liu, D Zheng, Z Wu, S Yu, L Liu
Advances in Data Mining. Applications and Theoretical Aspects: 17th …, 2017
Contig: Continuous representation learning on temporal interaction graphs
Z Wang, P Yang, X Fan, X Yan, Z Wu, S Pan, L Chen, Y Zang, C Wang, ...
Neural Networks 172, 106151, 2024
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