Adaptive Graph-of-Islands Evolution for Automatic Feature Engineering with LLMs
Automatic feature engineering (AutoFE) for tabular data requires discovering informative transformations from a large program space. Existing approaches suffer from three limitations: classical methods rely on fixed operator libraries with limited expressivity, LLM-based methods generate proposals from static prompts without retaining search experience, and evolutionary methods use fixed migration policies that ignore task-specific cross-family transfer utility. We introduce TOPOFE, a framework that formulates AutoFE as graph-structured multi-island evolutionary program search. The transformation space is partitioned into semantically coherent families, each explored by an island through ...
| Authors | Sha Li, Naren Ramakrishnan |
|---|---|
| Primary category | cs.AI |
| Published | 25 July 2026 |
| Last updated at source | 2 September 2026 |
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