Qiange Wang 王千阁
Cited by
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Neutronstar: distributed GNN training with hybrid dependency management
Q Wang, Y Zhang, H Wang, C Chen, X Zhang, G Yu
Proceedings of the 2022 International Conference on Management of Data, 1301 …, 2022
Automating incremental and asynchronous evaluation for recursive aggregate data processing
Q Wang, Y Zhang, H Wang, L Geng, R Lee, X Zhang, G Yu
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
区块链系统的数据存储与查询技术综述 (Survey of Data Storage and Query Techniques in Blockchain Systems).
Q Wang, P He, T Nie, D Shen, G Yu
计算机科学 45 (12), 12-18, 2018
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management
Q Wang, X Ai, Y Zhang, J Chen, G Yu
2023 IEEE 39th International Conference on Data Engineering (ICDE), 558-571, 2023
王千阁, 何蒲, 聂铁铮, 申德荣, 于戈
计算机科学 45 (12), 12-18, 2018
赵港, 王千阁, 姚烽, 张岩峰, 于戈
软件学报 33 (1), 150-170, 2021
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU
J Chen, Q Wang, Y Gu, C Li, G Yu
World Wide Web, 1-26, 2022
Partition-oriented subgraph matching on GPU
J Chen, Y Gu, Q Wang, C Li, G Yu
Web and Big Data: 4th International Joint Conference, APWeb-WAIM 2020 …, 2020
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs
Q Wang, Y Chen, WF Wong, B He
Proceedings of the ACM on Management of Data 1 (4), 1-27, 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
C Chen, D Gao, Y Zhang, Q Wang, Z Fu, X Zhang, J Zhu, Y Gu, G Yu
Proceedings of the VLDB Endowment 17 (3), 455-468, 2023
Distributed graph processing: techniques and systems
Y Zhang, Q Wang, S Gong
Web and Big Data. APWeb-WAIM 2020 International Workshops: KGMA 2020 …, 2021
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments
X Ai, Q Wang, C Cao, Y Zhang, C Chen, H Yuan, Y Gu, G Yu
arXiv preprint arXiv:2311.13225, 2023
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
H Yuan, Y Liu, Y Zhang, X Ai, Q Wang, C Chen, Y Gu, G Yu
arXiv preprint arXiv:2311.13279, 2023
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing
F Yao, Q Tao, W Yu, Y Zhang, S Gong, Q Wang, G Yu, J Zhou
Proceedings of the VLDB Endowment 17 (3), 264-277, 2023
Survey on Large-scale Graph Neural Network Systems
赵港, 王千阁, 姚烽, 张岩峰, 于戈
Journal of Software 33 (1), 150-170, 2021
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