Realty Income Corporation overview within S&P 500 context, covering lease structures, data center expansion, and diversified ...

Abstract: Knowledge graph embedding models have become a popular approach for knowledge graph completion through predicting the plausibility of (potential) triples. This is performed by transforming ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity ...

This paper investigates allocation rules in graph-structured cooperative games (hereinafter referred to as graph games) by integrating the notion of network control. A component-restricted game and ...

Youtu-GraphRAG is a vertically unified agentic paradigm that jointly connects the entire framework as an intricate integration based on graph schema. We allow seamless domain transfer with minimal ...

Got Tech, Data, AI and Media, and not afraid to use them. Are graphs really the new star schema? What do graphs look like to non-insiders, and what is it that attracts them to the graph community, ...

The term “knowledge graph” has been around since 1972, but its current definition can be traced back to Google in 2012. This was followed by similar announcements from companies such as Airbnb, Amazon ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. In ...