Computer scientists use the word “graph” to refer to a network of nodes with edges connecting some of the nodes. The graph isomorphism question simply asks when two graphs are really the same graph in ...

For example, a novel 0.8785-approximation algorithm for high-dimensional table compression on balanced k-partite graphs leverages semidefinite programming to achieve near-optimal performance ...

Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time. This means that the increasing complexity of the graphs increased the algorithm's running time ...

These temporal algorithms are particularly relevant for applications in rapidly changing environments, as they enable the identification of influential nodes in time-varying networks [3].

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

Efficiently and quickly chewing through one trillion edges of a complex graph is no longer in itself a standalone achievement, but doing so on a single node, albeit with some acceleration and ...