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Journal Articles
- 2024
[j3]Muhammad Shoaib, Shengzhong Zhang, Hassan Ali, Muhammad Azeem Akbar, Muhammad Hamza, Waheed ur Rehman:
Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making. Kybernetes 53(10): 3326-3347 (2024)- 2023
- [j2]Ziang Zhou
, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li:
Effective stabilized self-training on few-labeled graph data. Inf. Sci. 631: 369-384 (2023) - 2019
- [j1]Shengzhong Zhang, Yingmin Yu, Jidong Li, Qihong Zhu:
A Risk-Averse Newsvendor Model Under the Framework of Uncertainty Theory. IEEE Access 7: 182632-182642 (2019)
Conference and Workshop Papers
- 2024
- [c6]Wenjie Yang, Shengzhong Zhang, Zengfeng Huang:
Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP 2024: 5000-5004 - [c5]Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang:
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. ICLR 2024 - 2023
- [c4]Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang:
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS 2023 - 2022
- [c3]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR 2022: 2053-2058 - 2021
- [c2]Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou:
Scaling Up Graph Neural Networks Via Graph Coarsening. KDD 2021: 675-684 - 2020
- [c1]Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou:
SCE: Scalable Network Embedding from Sparsest Cut. KDD 2020: 257-265
Informal and Other Publications
- 2024
- [i8]Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang:
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR abs/2407.17723 (2024) - 2023
- [i7]Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang:
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR abs/2303.10371 (2023) - [i6]Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang:
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. CoRR abs/2310.18765 (2023) - [i5]Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang:
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. CoRR abs/2312.04865 (2023) - [i4]Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang:
Understanding Community Bias Amplification in Graph Representation Learning. CoRR abs/2312.04883 (2023) - 2022
- [i3]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR abs/2204.09508 (2022) - 2021
- [i2]Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou:
Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR abs/2106.05150 (2021) - 2020
- [i1]Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou:
SCE: Scalable Network Embedding from Sparsest Cut. CoRR abs/2006.16499 (2020)
Coauthor Index
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last updated on 2024-11-30 01:13 CET by the dblp team
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