IEEE

AGSEI: Adaptive Graph Structure Estimation With Long-Tail Distributed Implicit Graphs

Abstract: Empowered by their remarkable advantages, graph neural networks (GNN) serve as potent tools for embedding graph-structured data and finding applications across various domains. Particularly, ...
GitHub

symfony/microsoft-graph-mailer

Register an application in your Microsoft Azure portal, Grant this application the Microsoft Graph Mail.Send permission, Create a secret for that app. # MAILER MAILER ...
GitHub

Graph RAG and Hybrid RAG Workshop

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...
IEEE

Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions

Abstract: Variational Graph Autoencoders (VAGE) emerged as powerful graph representation learning methods with promising performance on graph analysis tasks. However, existing methods typically rely ...