Shengzhong Zhang
Shengzhong Zhang
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Scaling Up Graph Neural Networks Via Graph Coarsening
Z Huang, S Zhang, C Xi, T Liu, M Zhou
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Effective stabilized self-training on few-labeled graph data
Z Zhou, J Shi, S Zhang, Z Huang, Q Li
Information Sciences 631, 369-384, 2023
SCE: Scalable Network Embedding from Sparsest Cut
S Zhang, Z Huang, H Zhou, Z Zhou
Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2020
Few-shot classification on graphs with structural regularized GCNs
S Zhang, Z Zhou, Z Huang, Z Wei
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
B Li, M Zhou, S Zhang, M Yang, D Lian, Z Huang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
S Zhang, W Yang, X Cao, H Zhang, Z Huang
ICLR 2024, 2023
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
L Yan, S Zhang, B Li, M Zhou, Z Huang
arXiv preprint arXiv:2303.10371, 2023
Enhancing Performance of Coarsened Graphs with Gradient-Matching
W Yang, S Zhang, Z Huang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
D Yan, G Wei, C Yang, S Zhang
Advances in Neural Information Processing Systems 36, 2024
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