Graph theory and combinatorics are thriving fields, closely connected to many other areas of Mathematics such as probability, topology, numbertheory and geometry, as well as optimization and algorithms. Recently, computational aspects are also becoming more and more central to the core theoretical problems of the field. These include flag algebras, reinforcement learning and other AI approaches, including machine assisted proof verification and computer algebra systems. This workshop will cover a broad spectrum of topics from analytic, enumerative, extremal and probabilistic combinatorics, as well as random graphs. Talks will expose the latest trends and methods in these areas and provide a springboard for future collaboration amongst participants.