2 papers
cs.LG2026
Towards Training and Inference of Graph Neural Networks in Graph Databases
Victor Pekkari, Harry Wik, Alfred Clemedtson +2
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 scalab…
cs.LG2025
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
Alfred Clemedtson, Borun Shi
Large language models have shown remarkable language processing and reasoning ability but are prone to hallucinate when asked about private data. Retrieval-augmented generation (RA…