Using adjoint equations, the paper derives S-independent IPM convergence bounds for masked and uniform discrete diffusion, controlled by score-matching losses.
Advances in Neural Information Processing Systems , volume=
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TAG-DLM integrates graph message passing into masked diffusion language models via topology attention masks on linearized neighborhoods, enabling prompt-based adaptation for node classification, link prediction, and transfer on text-attributed graphs.
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Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space
Using adjoint equations, the paper derives S-independent IPM convergence bounds for masked and uniform discrete diffusion, controlled by score-matching losses.
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TAG-DLM: Diffusion Language Models for Text-Attributed Graph Learning
TAG-DLM integrates graph message passing into masked diffusion language models via topology attention masks on linearized neighborhoods, enabling prompt-based adaptation for node classification, link prediction, and transfer on text-attributed graphs.