… To address the previously mentioned constraints, our study introduces a graph
isomorphism-based … Subsequently, the model constructs graph networks by integrating graph …

… approach, where preprocessing reduces the amount of test graphs and a graph isomorphism
algorithm … If and only if two graphs can be decomposed in the same way they are said to be …

… new solution to pattern matching in port graphs. Its novelty lies in the use of a pre-computed
data structure that makes the pattern … decomposition of subject port graphs into bounded size …

… GNNs can differentiate between graphs that are similar within a k-… approach we also propose
a method for graph data augmentation as well as a reinforcement-learning based method …

… correspond to reduced plabic graphs, which give parametrizations of an important cell
decomposition of Gr k, n ≥0 [26]. In [1] it is shown that reduced plabic graphs for a given cell may …

… We are often interested in a hypothesis h that is invariant to isomorphism, ie, for two isomorphic
graphs G1 and G2 … We show that our methods perform well in graph isomorphism test. …

… a new approach for parallel evaluation of relaxed GPM queries on distributed graphs. We …
In [122], the pattern graph was decomposed into stars (two level trees) that can be found …

… graph templates called patterns. We define a match m of a pattern p as a subgraph of the data
graph that is isomorphic … They decompose computation at vertex and edge level, which is …

… method presented in this article ensures the optimal decomposition of the problem in the
design and … to minimize the computational time of edge coloring of a sizable set of graphs. This …

… techniques are decomposed into two major categories: A priori-based and … subgraph
problem in order to minimize the total number of subgraph patterns as well as graph isomorphism …