KG-RAG builds a vector database of intent-scored navigation paths from UI transition graphs and retrieves them during task execution, reporting 75.8% success on DroidTask, 8.9 points above AutoDroid.
In 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), pages 23–26
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation
KG-RAG builds a vector database of intent-scored navigation paths from UI transition graphs and retrieves them during task execution, reporting 75.8% success on DroidTask, 8.9 points above AutoDroid.