Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
EurekAlert!

A survey of geometric graph neural networks: data structures, models and applications

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...
InfoQ

Enhance LLMs’ Explainability and Trustworthiness with Knowledge Graphs

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
marktechpost

Graph Structure Learning Framework (GSLI): Advancing Spatial-Temporal Data Imputation through Multi-Scale Graph Learning

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...
IEEE

Improve Blockchain Performance using Graph Data Structure and Parallel Mining

Abstract: Blockchain technology is ushering in another breakout year, the challenge of blockchain still remains to be solved. This paper analyzes the features of Bitcoin and Bitcoin-NG system based on ...
GitHub

Graph structure

Version info: This describes the structure of ConceptNet 5.4. In version 5.5, this structure has been simplified. ConceptNet is a network of labeled nodes and edges, plus additional supporting ...
GitHub

Redo graph creators / Rethink graph data structure

The current graph creators use only multigraphs, but for some algorithms we may need more general graphs (that allow loops, for example). In JGraphT, this is known as a (Directed)PseudoGraph. The ...