3 papers
cs.AI2026
GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
Taraneh Ghandi, Hamidreza Mahyar, Shachar Klaiman
The use of knowledge graphs for grounding agents in real-world Q&A applications has become increasingly common. Answering complex queries often requires multi-hop reasoning and the…
cs.DB2026
GraphSeek: Next-Generation Graph Analytics with LLMs
Maciej Besta, Åukasz Jarmocik, Orest Hrycyna +7
Graphs are foundational across domains but remain hard to use without deep expertise. LLMs promise accessible natural language (NL) graph analytics, yet they fail to process indust…
cs.LG2025
Demystifying Higher-Order Graph Neural Networks
Maciej Besta, Florian Scheidl, Lukas Gianinazzi +4
Higher-order graph neural networks (HOGNNs) and the related architectures from Topological Deep Learning are an important class of GNN models that harness polyadic relations betwee…