Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Summary: Saga enables continuous construction and serving of a knowledge graph at industrial scale with a hybrid batch-incremental pipeline. It addresses data freshness, accuracy, and availability, detailing Saga's architecture and lessons from production use. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ihab F. Ilyas
- 2. Theodoros Rekatsinas
- 3. Vishnu Konda
- 4. Jeffrey Pound
- 5. Xiaoguang Qi
- 6. Mohamed Soliman
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,321 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD | 9.0359336e-05 |
| 5,135 | NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments | 2024 | VLDB | 5.6669017e-05 |
| 5,546 | Growing and Serving Large Open-domain Knowledge Graphs | 2023 | SIGMOD | 5.4457186e-05 |
| 9,036 | Transforming RDF Graphs to Property Graphs using Standardized Schemas | 2024 | SIGMOD | 4.3997447e-05 |
| 9,439 | Rock: Cleaning Data by Embedding ML in Logic Rules | 2024 | SIGMOD | 4.3389137e-05 |
| 10,244 | DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs | 2026 | VLDB | 4.1905499e-05 |
| 10,252 | CAPS: Cost-Aware ML Pipeline Selection | 2026 | VLDB | 4.1905499e-05 |
| 10,486 | Credible Intervals for Knowledge Graph Accuracy Estimation | 2025 | SIGMOD | 4.1905499e-05 |
| 10,976 | Unstructured Data Fusion for Schema and Data Extraction | 2024 | SIGMOD | 4.1905499e-05 |
| 11,032 | Efficient and Reliable Estimation of Knowledge Graph Accuracy | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 29 of 29 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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