There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

“The new algorithm is a remarkable tour de force,” said Giuseppe Italiano, a computer scientist at Luiss University and a co-author of the 1996 paper describing what is now the second-fastest ...

Graph algorithms can solve a certain class of connected network problems more efficiently than other computational approaches. By treating a given piece of data as a node that is connected (via edges) ...

Graph Algorithms: Computational procedures designed to solve problems related to graph structures, encompassing processes such as traversal, shortest path determination, and network flow analysis.

Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems.

The graph database shines when asked to search through the networks defined by these connections. They have specialized algorithms for compiling the layers of relationships that radiate out from ...

By having a native C++ graph storage engine (GSE) work side-by-side with a graph processing engine (GPE) to handle of data and algorithms and by using parallelism and a distributed architecture.

Graph algorithms are mostly supported in analytical (OLAP and HTAP) graph databases, although some transactional (OLTP) graph databases such as Neo4j support them.

Our research is focused on graph algorithms, from both a theoretical perspective, and a practical perspective motivated by real-world problems in Bioinformatics, such as genome sequencing technologies ...