Dynamic Fusion of Topology and History: The AdaGPS Architecture with GatEdgeformer
Graph Transformers show immense potential in graph representation learning, yet adaptively capturing complex topological dependencies remains a critical challenge. This paper proposes AdaGPS, a novel adaptive architecture featuring three core improvements. First, the introduced GatEdgeformer module injects edge feature...