Edge & Node, the team that created The Graph, has launched ampersend, a management platform for coordinating how autonomous AI agents operate and transact, the company said on Thursday. Built on ...

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I recently constructed a graph using modified versions of the 47 genomes used in the initial HPRC draft pangenome, plus phased genomes for two additional trios and GRCh38, using T2T-CHM13 as the ...

A lightweight React + D3.js component for rendering interactive node-edge (force‐directed) graphs. Supports drag, click tooltips (via MUI Popover), dynamic data updates, custom styling, and fully ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Abstract: Graph neural networks (GNNs) play an increasingly significant role in node classification. Most GNNs have been conducted on balanced datasets. However, real-world graphs often reflect ...

ABSTRACT: The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge ...

Methane is one of the most dangerous greenhouse gases, trapping heat 84 times more effectively than carbon dioxide. It seeps into the atmosphere from landfills, sewage plants, and livestock, ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...