In this paper, we present HetTree, a novel HGNN that models both the graph structure and heterogeneous aspects in a scalable and effective manner. Specifically, HetTree builds a semantic tree data ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

From arrays to trees, this guide makes data structures simple. Master the basics and start building smarter, faster code today.

In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful ...

This article presents a unified method for individual tree segmentation that integrates trunk localization with crown segmentation. The trunk localization uses normal vector features to ...

In computer science, a tree is a widely used abstract data type (ADT)—or data structure implementing this ADT—that simulates a hierarchical tree structure, with a root value and subtrees of children ...

In additional, the structural and attribute features are not effectively integrated. In this paper, we propose a novel framework named Hybrid Structure Encoding Graph neural networks with Attention ...