Abstract: Graph filters are essential tools in graph signal processing (GSP), which has been widely employed to process irregular data from sensor, social, brain, and transportation networks. This ...

Linear graphs with inferences and applications occupy fully half the book, the latter half relating to algebraical equations and graphs of the second degree with one or two cubics. The numerous ...

At the University of Nevada, Reno, we believe in the power of purpose and the strength of the Pack. Whether you're engineering clean energy, studying literature’s role in social change, or designing ...

This project is an example of GraphRAG, providing a system for processing documents, extracting entities and relationships, and managing them in a graph database. It leverages OpenAI's GPT models for ...

This repository offers a suite of deep learning-based reduced order models (ROMs) for parametric partial differential equations (PDEs). These models are developed in PyTorch and integrated with PyMOR, ...

1Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada. 2International Collaboration on Repair Discoveries ...