You can use ChatGPT to write essays and for a myriad of other tasks, but did you know, you can create graphs, charts, and diagrams as well in ChatGPT? Yes, with the ...

A paper posted online in March 2023 has presented the first substantial progress in a half-century on one of the fundamental questions in the overlap between mathematics and computer science: how to ...

Abstract: Graph isomorphism is an essential problem in graph theory and widely used in a variety of applications. With graph size increasing, graph isomorphism become difficult for classical ...

Abstract: The rise of graph analytic systems has created a need for ways to measure and compare the capabilities of these systems. Graph analytics present unique scalability difficulties. The machine ...

Graph neural network models to perform link prediction on the nba and ncaa point differential graph on seasons 2013-2019, 2021.

Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional ...

Scott is a python library to compute, for any fully-labelled (edge and node) graph, a canonical tree representative of its isomorphism class, that can be derived into a canonical trace (string) or ...

We propose a new approach to solve graph isomorphism using parameterized matching. To find isomorphism between two graphs, one graph is linearized, i.e., represented as a graph walk that covers all ...

Given two graphs which are almost isomorphic, is it possible to find a bijection which preserves most of the edges between the two? This is the algorithmic task of Robust Graph Isomorphism, which is a ...