Abstract: Knowledge graph-based recommendation systems excel at capturing semantic relationships but struggle to model temporal dynamics in evolving user preferences, which is a critical limitation ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
In this tutorial, we build an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that each ...
# DBGE: Employee Turnover Prediction based on Dynamic Bipartite Graph Embedding This repository provides a reference implementation of the paper: > X. Cai et al., "DBGE: Employee Turnover Prediction ...
This repository contains the implementation of the model Dynamic Spatial-Temporal Graph Convolutional Recurrent Network (DSTGCRN) presented in the manuscript "Dynamic Spatial-Temporal Model for Carbon ...
1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
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