Guangmo Tong

VisAdj: Learning Adjacency Matrices from Node-Link Images

VisAdj is a new framework for topology-aware adjacency prediction that introduces an attention-sparse neighbor sampler to adaptively select a high-recall set of candidate node pairs and performs joint edge inference using a line-graph transformer that treats candidate edges as tokens and explicitly models dependencies...