Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation explores A novel generative framework for discrete data that simplifies formulation and improves performance on graph benchmarks.. Commercial viability score: 4/10 in Graph Generation.
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