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cs.AI2026
VisAdj: Learning Adjacency Matrices from Node-Link Images
Jiahao Xie, Guangmo Tong
Learning adjacency matrices from node-link images is a fundamental problem for recovering structured graph information from visual observations. Existing methods typically rely on…
cs.AI2026
VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection
Jiahao Xie, Guangmo Tong
Graph property detection aims to determine whether a graph exhibits certain structural properties, such as being Hamiltonian. Recently, learning-based approaches have shown great p…