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

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning arXiv:2508.06588v3 Announce Type: replace-cross Abstract: Vector Quantization (VQ) has recently emerged as a promising approach for learning compressed and discrete representations for graph-structured data. However, a fundamental challenge, i.e., codebook collapse, remains underexplored in the graph domain, significantly limiting the expressiveness and generalization of graph tokens.In this pape