A modified DCGAN with an auxiliary discriminator using the membrane factor generates stable, previously unseen funicular shells optimized for pure compression in three dimensions.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper argues that the topological deep learning community should develop new benchmark datasets with native higher-order structure rather than continuing to lift graph datasets.
citing papers explorer
-
Physics-informed, Generative Adversarial Design of Funicular Shells
A modified DCGAN with an auxiliary discriminator using the membrane factor generates stable, previously unseen funicular shells optimized for pure compression in three dimensions.
-
Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
The paper argues that the topological deep learning community should develop new benchmark datasets with native higher-order structure rather than continuing to lift graph datasets.