FGAQ: Accelerating Graph Analytical Queries Using FPGA
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-7244-5_25
Reference13 articles.
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2. Bonifati, A., Özsu, M.T., Tian, Y., Voigt, H., Yu, W., Zhang, W.: The future of graph analytics. In: Companion of the 2024 International Conference on Management of Data, pp. 544–545 (2024)
3. Chen, K., Wen, D., Zhang, W., Zhang, Y., Wang, X., Lin, X.: Querying structural diversity in streaming graphs. Proc. VLDB Endow. 17(5) (2024)
4. Hao, K., Yang, Z., Lai, L., Lai, Z., Jin, X., Lin, X.: Patmat: a distributed pattern matching engine with cypher. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 2921–2924 (2019)
5. Jin, X., Yang, Z., Lin, X., Yang, S., Qin, L., Peng, Y.: Fast: FPGA-based subgraph matching on massive graphs. In: 2021 IEEE 37th International Conference on Data Engineering (ICDE), pp. 1452–1463 (2021)
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