VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization.
Mucong DingKezhi KongJingling LiChen ZhuJohn P. DickersonFurong HuangTom GoldsteinPublished in: CoRR (2021)
Keyphrases
- vector quantization
- image compression
- neural network
- vector quantizer
- fractal image compression
- reduced complexity
- fractal image coding
- speaker recognition
- distortion measure
- input vector
- neural gas
- codebook design
- finite state vector quantization
- back propagation
- successive approximation
- medical image compression
- entropy constrained vector quantization