Databases as Graphs: Predictive Queries for Declarative Machine Learning
Summary: Kumo provides a SQL-like Predictive Query language that compiles relational schemas into a heterogeneous hypergraph abstraction. Distributed GNNs trained on that graph auto-learn cross-table embeddings for in‑DB predictions, eliminating manual feature engineering and enabling scalable production ML. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
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| 10,348 | Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy | 2025 | PODS | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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