There are many different ways to link LLMs to data, from creating your own embeddings and using retrieval-augmented generation (using graph databases ... PC and needs node.js.

Abstract: In edge-distributed environments, spatiotemporal graphs provide a promising solution for capturing the complex dependencies among nodes and edges necessary for accurate wind speed ...

However, they still lack support for edge labels or the ability to generate an edit path. To address these limitations, we propose a hybrid method named CGEDN based on Graph Neural Networks and ...

Unlike conventional data, where each instance is represented in a feature-value vector format, graphs exhibit node–edge structural relationships and have no natural vector representation. This ...

Represent the graph using an adjacency list for efficient traversal. Depth First Search (DFS): Perform a DFS traversal to check the connectivity between nodes c and d after temporarily removing the ...

Incorporating structural features into random-graph calculations should bring theoretical models describing the properties and behaviour of complex networks closer to real-world systems.

College of Mathematics and Statistics, Fujian Normal University, Fuzhou, Fujian 350117, P. R. China Center for Applied Mathematics of Fujian Province (Fujian Normal University), Fuzhou, Fujian 350117, ...