mlsanityData to 14 Oct 2026

Building LEGO Using Deep Generative Models of Graphs

arXiv 2012.11543 ↗First posted 21 Dec 2020cs.AI cs.LGcited by 14

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Abstract (arXiv)

Generative models are now used to create a variety of high-quality digital artifacts. Yet their use in designing physical objects has received far less attention. In this paper, we advocate for the construction toy, LEGO, as a platform for developing generative models of sequential assembly. We develop a generative model based on graph-structured neural networks that can learn from human-built structures and produce visually compelling designs. Our code is released at: https://github.com/uoguelph-mlrg/GenerativeLEGO.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Dec 2020.

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Citing papers per year: 2021: 2; 2022: 5; 2023: 2; 2024: 2; 2025: 1; 2026: 2.

14 papers.

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