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.arXiv preprint arXiv:2308.02117, 2023
2 Pith papers cite this work. Polarity classification is still indexing.
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LiveGraph improves exercise recommendations by using graph representations to link student histories and dynamic re-ranking to boost both accuracy and content diversity on real-world learning datasets.
citing papers explorer
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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 improves exercise recommendations by using graph representations to link student histories and dynamic re-ranking to boost both accuracy and content diversity on real-world learning datasets.