A long trip in the charming world of graphs for Pattern Recognition
The paper is a historical survey of graph-based methodologies in Pattern Recognition. The scientific evolution of graph based methods over their history is discussed. The paper analyses the trend of reusing vector space methods for graphs. Three distinctive periods are recognized wrt how the vector-graph gap is filled. Reserve a ticket for a historical trip in this charming world and discover it soon!.
graph clustering graph embeddings graph kernels graph learning graph matching structural pattern recognition