From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion
LatentDiff is proposed, a novel unified latent generative framework for TSP, which reformulates knowledge graph completion as latent space graph generation and introduces an observation-anchored latent graph diffusion model.
Jia-Qi Wang, Yi-Sen Gao, Hua-Yang Shi et al.
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