RISE Research Radar

Computer Science Open House 2022-2025

2025

Combining GNNs and LLMs for Advanced Reasoning

Daniel Perez-Ramirez, Lodovico Giaretta, Joakim Eriksson, Sarunas Girdzijauskas

Summary

Integrates implicit knowledge of pre-trained LLMs with structural reasoning capabilities of Graph Neural Networks for novel multi-modal AI models. Applications span health sciences, logistics, 5G/6G networks, and data analytics. Targets intent-based optimization, question answering grounded in knowledge graphs.

Themes

llmmachine-learning

Keywords

GNN, LLM, knowledge graphs, multi-modal, reasoning