Generalization of GLM improvements across languages, domains, and tasks

Confirm whether the improved text and graph reasoning capabilities attributed to Graph Language Models extend beyond English knowledge graphs to other languages, domains, and tasks.

Background

The evaluation in the paper is conducted on English commonsense (ConceptNet) and factual (Wikidata) subgraphs and associated text. While results indicate advantages of GLMs over LM and GNN baselines, the scope is limited to English.

The authors explicitly defer verifying whether GLM improvements in text and graph reasoning hold across different languages, domains, and task settings.