Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems
This project implements a Graph-based RAG system that improves document retrieval for complex questions requiring multi-hop reasoning. Unlike traditional RAG systems that treat documents as isolated ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...
Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
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