Author

D. Yan

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Book Open access Aug 2026

NodeBits: A Plug-and-Play Framework for Accelerating Graph Inference by Post-Hoc Binary Quantization

This paper proposes NodeBits, a lightweight plug-and-play framework that accelerates graph inference via a novel post-hoc binary quantization scheme that consistently outperforms existing GNN-to-MLP methods in both accuracy and inference speed.

Qihao Cheng, Tianhao Wu, D. Yan et al. · Proceedings of the 32nd ACM... · 0 citations

Book Open access Aug 2026

NodeBits: A Plug-and-Play Framework for Accelerating Graph Inference by Post-Hoc Binary Quantization

Graph neural networks (GNNs) have become a leading paradigm for graph learning, powering numerous applications, such as recommender systems in e-commerce and social platforms. However, GNN inference requires expensive propagation and aggregation of node features and feature gradients, repeated across layers, the cost o...

Qihao Cheng, Tianhao Wu, D. Yan et al. · Proceedings of the 32nd ACM... · 0 citations