Abstract: Traditional shortest-path graph kernels generate for each graph a histogram-like feature map, whose elements represent the number of occurrences of non-isomorphic shortest paths in this ...

Python simulation of the London Underground network that finds the fastest route between stations using weighted graph algorithms. Includes dynamic connections and optimization for travel time and ...

Abstract: Graph Neural Networks (GNNs) have achieved remarkable performance on various learning tasks on geometric data. However, the incorporation of graph structures into the learning of node ...