SmartBench: Demonstrating Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs
Summary: SmartBench: automatic benchmark generation for QA over any KG. It addresses benchmark variability, stagnation, and KG diversity by guaranteeing coverage of NL question/query properties seen in the literature, as long as the KG contains those properties. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,882 | Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs | 2023 | SIGMOD | 6.11804e-05 |
| 6,059 | Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding | 2024 | VLDB | 6.0534485e-05 |
| 10,062 | Continuous Subgraph Matching via Cost-Model-based Dynamic Vertex Dominance Embeddings | 2026 | SIGMOD | 5.1725247e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,500 | CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs | 2021 | VLDB | 5.1725247e-05 |
| 13,268 | CBench: Demonstrating Comprehensive Evaluation of Question Answering Systems over Knowledge Graphs Through Deep Analysis of Benchmarks | 2021 | VLDB | - |
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