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PlanRGCN: Predicting SPARQL Query Performance

Summary: PlanRGCN: a graph-convolution model that predicts SPARQL runtimes from query plans and KG statistics, generalizing to unseen structures and supporting non-trivial SPARQL operators. Scalable pretraining; improves load‑balancing throughput up to 207% and execution by up to 70%. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13825
Venue
VLDB
Year
2025
Pagerank
4.1905499e-05
Overall Rank
10,573 | 26.52%
DOI
10.14778/3725688.3725694

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,806 Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction 2025 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
634 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018844568
657 An Analytical Study of Large SPARQL Query Logs 2018 VLDB 0.00018581389
716 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00017623897
876 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00015660534
1,017 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014627121
3,345 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1908499e-05
3,580 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 6.9460425e-05
3,659 The Complexity of Evaluating Path Expressions in SPARQL 2012 PODS 6.8684407e-05
4,075 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 6.4699689e-05
4,592 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 6.056004e-05
5,645 Database Workload Characterization with Query Plan Encoders 2022 VLDB 5.3928148e-05
5,654 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 5.3882121e-05
6,277 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 5.1260947e-05
6,328 A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies 2024 VLDB 5.1034426e-05
6,715 Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks 2024 SIGMOD 4.9464666e-05
8,282 Knowledge Graph Exploration Systems: are we lost? 2022 CIDR 4.5392079e-05
9,571 Discovering Diversified Paths in Knowledge Bases 2018 VLDB 4.321265e-05
9,612 Workload-Aware CPU Performance Scaling for Transactional Database Systems 2018 SIGMOD 4.3136057e-05
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