VSNS, a two-step neighbor filter based on relation visualizability and CompGCN structural similarity, generates prompts that yield images better aligned with knowledge graphs.
Gans trained by a two time-scale update rule converge to a local nash equilibrium,
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Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts
VSNS, a two-step neighbor filter based on relation visualizability and CompGCN structural similarity, generates prompts that yield images better aligned with knowledge graphs.