Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nystr"om Method
Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing
cs.LG, cs.AI
Submitted: 2026-08-07
Updated: 2026-08-10
Code: https://github.com/QuanlingZhao/NysHD
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- TUDataset: A collection of benchmark datasets for learning with graphs
- A short letter on the dot product between rotated Fourier transforms
- How Powerful are Graph Neural Networks?
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