Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

Abstract: Distributed weakly convex optimization is a significant class of problems in signal and information processing, with wide-ranging applications such as sparse dictionary learning, low-rank ...

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 ...

Icons of "Laptop with graph" on round buttons with color gradients. Four icon versions included in the bundle: - Two colored icons on a white circle button. - Two white icons on a colored circle ...

Icons of "Declining graph with Yen banknote" on round buttons with color gradients. Four icon versions included in the bundle: - Two colored icons on a white circle button. - Two white icons on a ...

This is the repository for the tutorial Biomedical Knowledge Graphs meet LLM. See the link here This tutorial focuses on the complementary nature of Biomedical Knowledge Graphs (KGs) and Large ...

The goal is to learn the network characteristics and disease dynamics of the pandemic occurred in Sweden during 2009, commonly known as swine flu. As a secondary goal, we develop an algorithm to ...