Abstract: Existing work on knowledge graph (KG) link prediction has primarily focused on a single KG. However, a single KG is often limited by its incompleteness, encompassing missing facts, entities, ...

Previous work has modeled network-based series as oversimplified graphs or has ignored the power law dynamics ... a novel framework based on hypergraph learning that captures the hyperbolic properties ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

Beijing Interstellar Glory Space Technology Ltd., also known as iSpace, launched the Hyperbola-2Y single-stage hopper at the Jiuquan Satellite Launch Center Nov. 2. The Hyperbola-2 methane-liquid ...

Finally, graph-based metrics were derived for whole-brain SC matrices ... 1) The Atlas file is an XSL/XSLX Excel worksheet that provides information on the atlas the user adopts to define the network ...

The Microsoft Graph Core Python Client Library contains core classes used by Microsoft Graph Python Client Library to send native HTTP requests to Microsoft Graph API. To call Microsoft Graph, your ...

This library implements common Neural Network components in the hyperbolic space (using the Poincare model). The implementation of this library uses Tensorflow as a backend and can easily be used with ...