A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

The flattening process relies on sampling a sequence of random trail segments with neighborhood information (i.e. a SENT), by traversing the graph through a strategy similar to depth-first search.

Abstract: The Subgraph Isomorphism (SI) search problem searches for embeddings of a pattern graph within a data graph. Efficient heuristic algorithms for the SI search problem are often structured ...

Retrieval-augmented generation (RAG) allows AI systems to provide additional information and context to a large language model (LLM) when generating a response to a user query. However, traditional ...

The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

Abstract: Graph edit distance (GED) is a measure for quantifying the similarity between two graphs. Because of its flexibility and versatility, GED is widely used in many real applications. However, ...

Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering ...

Keyword research is the foundation of search engine optimization, and without it, you cannot expect to create sustainable and repeatable visibility. Today, SEO is a much wider discipline than in the ...

This article examines some of the Google updates that significantly reflect the search engine's focus on users and their experiences online. As the role of search evolves to touch multiple marketing ...