Zian Zhai

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning

Vector Quantization (VQ) has recently emerged as a promising approach for learning discrete representations of graph-structured data. However, a fundamental challenge, i.e., codebook collapse, remains underexplored in the graph domain, significantly limiting the expressiveness and generalization of …