cs.DB · 2026-08-27 · No. 97

Databases, 2026-08-27.

2 new papers in cs.DB. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    MetaSieve: Faster Relational Deep Learning through SQL-Based Metapath Selection

    Fahim Shahriar Khan, Ashraf Aboulnaga

    cs.DB · cs.LG

    Relational Deep Learning (RDL) is an effective approach to machine learning over multi-table relational databases. In RDL, a database is modeled as a graph in which each row is a node and each foreign-key relation is an edge, and a graph neural network (GNN) is trained on this graph. Training a GNN requires sampling a subgraph around every seed node in the training set, and the cost of training is largely determined by the size of these...

    arxiv.org/abs/2608.25903 · PDF

  2. 02

    PolyMemDB: A Polyglot Database System for AI Memory Management

    Yu Wang, Jiaheng Lu

    cs.DB · cs.AI

    With the widespread adoption of personal intelligent agents, users generate massive, heterogeneous data during long-term interactions. Leveraging this data as long-term memory helps reduce token overhead and deliver personalized experiences. However, existing memory systems face two primary limitations: they rely on single-storage paradigms that fragment multi-dimensional data, and they lack fine-grained data provenance to resolve long-term...

    arxiv.org/abs/2608.25577 · PDF

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