Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.

Graph theory is moving from textbooks to traffic lights, powering smarter transportation networks worldwide. From retail deliveries to freight corridors and urban commuting, it helps planners cut ...

Abstract: This study investigates the structural characterization of the Middle Roman Domination Number for any caterpillar graph; a significant subclass of trees derived from a central spine by ...

experiment_graph.py forecast_preprocess_graph.py forecast_training_graph.py main_graph.py sr_preprocess_graph.py sr_training_graph.py middleware ...