serve as potent tools for embedding graph-structured data and finding applications across various domains. Particularly, a prevalent assumption in most GNNs is the reliability of the underlying graph ...
Our work remodels MRF data and parameter maps as graph nodes, redefining the MRF reconstruction problem as a structure-preserved graph embedding problem. Furthermore, we propose a novel scheme for ...
The algorithm works in an abstracted road map called a graph: a network of interconnected points (called vertices ... To put this procedure into practice, you’d need to decide on a system for ...