VQ-SAD combines a pretrained VQ-VAE with diffusion models by using its codebooks as discrete tokenizers for atoms and bonds, yielding slight improvements over prior diffusion methods on QM9 and ZINC250k.
Vqgraph: Rethinking graph representation space for bridging gnns and mlps
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
LiveGraph re-ranks exercise recommendations with a dynamic concept kernel and uncertainty-aware meta-RL fusion, claiming improved accuracy and diversity, with only accuracy tables shown.
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VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation
VQ-SAD combines a pretrained VQ-VAE with diffusion models by using its codebooks as discrete tokenizers for atoms and bonds, yielding slight improvements over prior diffusion methods on QM9 and ZINC250k.
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LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
LiveGraph re-ranks exercise recommendations with a dynamic concept kernel and uncertainty-aware meta-RL fusion, claiming improved accuracy and diversity, with only accuracy tables shown.