Learned Query Optimization (LQO) has emerged as a promising paradigm for improving database performance, with reported speedups of 2× to over 10× on standard benchmarks. Existing evaluations, however, remain largely latency-centric and leave the energy debt from data collection, model training, and online inference l...
Zi-Bo Liang, Quan-Qing Xu, Xu Chen et al.· Proceedings of the ACM on Ma...· 0 citations
The theoretical analysis proves that CNDGNN performs better than GCN in the conflicting nodes and explores the key design view when solving the conflicting node problem.
Wenjun Wang, Xin Cao, Ya-Wen Li et al.· Proceedings of the 32nd ACM...· 0 citations
DBAgent is presented, an autonomous agent for Huawei Cloud Data Warehouse Service (DWS) integrated with Autopilot (DWS's production monitoring, alerting, and auto-remediation service) that consumes DWS telemetry and Autopilot alerts and produces evidence-grounded reports with low hallucination on DWS benchmark.
Xu Chen, Jun-Ming Chen, Shuncheng Liu et al.· Proceedings of the VLDB Endo...· 0 citations
Graph Neural Networks (GNNs) have exhibited extraordinary performance in data mining. The success depends on the message passing mechanism, which is consistent with the homophily assumption that adjacent nodes share similar behaviors. However, the connected nodes in real-world graphs often show dissimilar behaviors, wh...
Wenjun Wang, Xin Cao, Yawen Li et al.· Proceedings of the 32nd ACM...· 0 citations
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