Designed to store entities and relationships, and optimized to perform graph operations such as traversals, clustering, and shortest-path calculations, Neo4j shines at exploring data that consists ...

The method of claim 6, further comprising: clustering the filtered graph embeddings using the clustering algorithm; identifying clusters having fewer than a threshold value T of graph embeddings ...

In directed graphs, relationships are asymmetric and these asymmetries contain essential structural information about the graph. Directed relationships lead to a new type of clustering that is not ...

AI clustering is the machine learning (ML) process of organizing data into subgroups with similar attributes or elements. Clustering algorithms tend to work well in environments where the answer ...

We introduce a novel statistical procedure for clustering categorical data based on Hamming distance (HD) vectors. The proposed method is conceptually simple and computationally straightforward, ...

Graph isomorphism in quasipolynomial time I: The “Local Certificates Algorithm.” Combinatorics and Theoretical Computer Science seminar, Chicago, November 10, 2015.

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 ...