arxiv
PublishedOctober 15, 2026 at 4:00 AM
Towards Training and Inference of Graph Neural Networks in Graph Databases
Publisher summary· verbatim
arXiv:2610.19142v1 Announce Type: new Abstract: Graph Neural Networks on large graphs commonly rely on in-memory graph storage with ad hoc data processing pipelines for both training and inference. Graph databases provide scalable storage and efficient traversal for graphs that can evolve over time,
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Originally published on arxiv ↗