2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
NeurIPS 2024spotlight
In the realm of graph learning, there is a category of methods that conceptualize graphs as hierarchical structures, utilizing node clustering to capture broader structural information. While generally effective, these methods often rely on a fixed graph coarsening routine, leading to overly homogen…