IEEE

Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph

Abstract: Attributed graph clustering is of significance for an in-depth understanding of the intrinsic organization of complex networks. Recently, owing to the powerful learning capability of deep ...

An Integrated Artificial Intelligence and Internet of Things Framework for Next-Generation Retail: A Paradigm Shift in Efficiency, Personalization, and Scalability

This article details the architecture's layers, its innovative integration of edge AI with IoT sensor networks, and its ...
IEEE

Efficient Recovery of Sparse Graph Signals From Graph Filter Outputs

Abstract: This paper investigates the recovery of a node-domain sparse graph signal from the output of a graph filter. This problem, which is often referred to as the identification of the source of a ...
GitHub

better-auth-microsoft-graph

Seamlessly integrate Better Auth with Microsoft Graph API to access user profile, calendar, contacts, mail, and OneDrive data. GET /api/auth/microsoft/me/calendar ...
STAT

My continuous glucose monitor graphs my life — but misses the big picture

A continuous glucose monitor (CGM) can tell you when my glucose spikes, but not that I delayed correcting it because I was in a high-stakes meeting. It can record the number after I under-bolused for ...
GitHub

Efficient Graph Condensation via Gaussian Process (GCGP)

Graph condensation reduces graph sizes while maintaining performance, addressing the scalability challenges of GNNs caused by computational inefficiencies on large datasets. Existing methods often ...