Moreover, in natural language processing, graph algorithms analyze and generate text with word embeddings. This represents words as vectors based on their co-occurrence in a large corpus of text.

Abstract: As semantic information is often missing in text representation, this paper proposes semantic graph structure to represent text and optimize graph structure by semantic similarity matrix.

Text Summarization is an emerging technique for understanding ... This paper presents innovative unsupervised methods for automatic sentence extraction using graph-based ranking algorithms and ...

Leader in relational knowledge graphs expands what’s possible with AI-powered intelligent apps in the Snowflake AI Data CloudSAN FRANCISCO, June 03, 2025 (GLOBE NEWSWIRE) -- RelationalAI today ...

In this article, you will learn about some of the most effective algorithms for text and string processing, and how they work. String matching is the problem of finding all the occurrences of a ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee.

Computer scientists are abuzz over a fast new algorithm for solving one of the central problems in the field. (January 15, 2017, update: On January 4, Babai retracted his claim that the new algorithm ...

A new algorithm efficiently solves the graph isomorphism problem, computer scientist László Babai announced November 10 at a Combinatorics and Theoretical Computer Science seminar at the ...

It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential ...