Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
IEEE

Power Distribution Network Topology Detection Using Dual-Graph Structure Graph Neural Network Model

Abstract: Topology detection (TD) in the context of power distribution networks (PDNs) is a fundamental requirement for a wide range of applications, such as fault localization and load management.
IEEE

A Framework for Bipartite Graph Structure Learning Through Eigenvector Partitioning

Abstract: Learning bipartite graph structures from data is a fundamental yet challenging problem in graph signal processing. Unlike general graph learning (GL) methods, bipartite models are especially ...
GitHub

SP Government Budget Analytics

ps: this is v2. I decided to better document the old process and add new perspectives, hence the new repository. I'm always using my GitHub as a personal document for advancing technology in the data ...
GitHub

Subarray with given sum.py

The first line of input contains an integer T denoting the number of test cases. Then T test cases follow. Each test case consists of two lines. The first line of each test case is N and S, where N is ...