3 papers
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…
cs.LG2025
Generalization Performance of Hypergraph Neural Networks
Yifan Wang, Gonzalo R. Arce, Guangmo Tong
Hypergraph neural networks have been promising tools for handling learning tasks involving higher-order data, with notable applications in web graphs, such as modeling multi-way hy…