Segui
Haihong Zhao
Titolo
Citata da
Citata da
Anno
All in one and one for all: A simple yet effective method towards cross-domain graph pretraining
H Zhao, A Chen, X Sun, H Cheng, J Li
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
312024
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Y Liu, J Cheng, H Zhao, T Xu, P Zhao, F Tsung, J Li, Y Rong
The Twelfth International Conference on Learning Representations, 0
19*
Effective fault scenario identification for communication networks via knowledge-enhanced graph neural networks
H Zhao, B Yang, J Cui, Q Xing, J Shen, F Zhu, J Cao
IEEE Transactions on Mobile Computing 23 (4), 3243-3258, 2023
112023
A clothes classification method based on the gcforest
L Han, Z Haihong, Y Erxin, B Yuming, L Huiying
2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC …, 2018
102018
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi*, Haihong Zhao*, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
The Thirty-Eighth Annual Conference on Neural Information Processing Systems …, 2024
9*2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
H Zhao, C Zi, Y Liu, C Zhang, Y Zhou, J Li
Proceedings of the ACM on Web Conference 2024, 4083–4094, 2024
62024
A dual-system method for intelligent fault localization in communication networks
J Ji, F Zhu, J Cui, H Zhao, B Yang
ICC 2022-IEEE International Conference on Communications, 4062-4067, 2022
52022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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