Graph-Based Representations in Pattern Recognition

GbRPR 2027

GbR is a biennial workshop organized by the 15th Technical Committee of IAPR, devoted to graph-based methods for pattern recognition, machine learning, and image analysis. The workshop provides a forum for presenting and discussing advances in graph representations, graph algorithms, graph learning, graph neural networks, and graph-theoretic approaches to data analysis.

By bringing together researchers from graph theory, pattern recognition, machine learning, and application domains, GbR fosters interdisciplinary exchange and the development of novel graph-based methodologies. The proceedings of the workshop will be published in the Springer LNCS series, and we are currently in discussions with Pattern Recognition Letters to create a special issue related to GbR topics following the workshop.