Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

Abstract: A framework of scientific knowledge graphs is proposed in this guide. This guide divides the stakeholders of scientific knowledge graphs into scientific data suppliers, scientific knowledge ...

A Heterogeneous Graph Transformer (HGT)-based model for protein function prediction using biological knowledge graphs and protein language models ...

A web component to represent a graph data structure in a 3-dimensional space using a force-directed iterative layout. Uses ThreeJS/WebGL for 3D rendering and either d3-force-3d or ngraph for the ...

A crucial challenge in AI today is bridging the gap between general intelligence and deep, organisation-specific knowledge.

Abstract: 3D object detection is a critical technology in many applications, and among the various detection methods, pointcloud-based methods have been the most popular research topic in recent years ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Business Wire India QualityKiosk Technologies, a global leader in digital assurance and reliability engineering solutions, is announcing its partnership with rapidly growing DevRe ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...