GraphVQ: Structure-Aware Autoregressive Decoding over Context-Quantized Graph Tokens
cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Sources
- MolGAN: An implicit generative model for small molecular graphs
- Training Compute-Optimal Large Language Models
- Scaling Laws for Neural Language Models
- Towards Neural Scaling Laws on Graphs
- TUDataset: A collection of benchmark datasets for learning with graphs
- OpenGraph: Towards Open Graph Foundation Models
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