IEEE

A Variational AutoEncoder-Based Relational Model for Cost-Effective Automatic Medical Fraud Detection

Abstract: This work aims to develop a framework of automatic medical fraud detection (AMFD) which can be deployed in healthcare industry. To address the issue that the medical fraud labels are ...
University of Vermont

Setting the Table for Just Transitions: Conducting Relational Agroecological Research

The questions “who is at the table” and “who is missing a seat at the table” are often invoked in conversations about collaboration, participatory research, and justice-oriented work. The table serves ...
IEEE

SRE-KGC : A Knowledge Graph Completion Model Based on Hidden Graph Structure and Relational Semantic Enhancement

Abstract: Knowledge Graph Completion (KGC) endeavors to use existing knowledge graph data for predicting missing elements in triples. Recently, due to the efficiency of graph neural networks (GNNs) in ...
Search Engine Land

What is LLMO? Optimize content for AI & large language models

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...
Frontiers

Relational inclusivity in education: comparing SNA Toolkit findings with ERGM models to advance a relational approach to inclusion

1 National Institute of Physical Education of Catalonia, University of Lleida, Lleida, Spain 2 Department of Education Studies, University of California, San Diego, La Jolla, CA, United States ...