😭 GraphRAG is good and powerful, but the official implementation is difficult/painful to read or hack. 😊 This project provides a smaller, faster, cleaner GraphRAG, while remaining the core ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
These are my go-to libraries for Python data crunching.
Do you ever find yourself copying Excel data and recreating graphs every month, or struggling to focus on your core work because aggregation and graphing take up so much time? By using Python's pandas ...
Abstract: Along with the proliferation of electric vehicles (EVs), optimizing the use of EV charging space can significantly alleviate the growing load on intelligent transportation systems. As the ...
Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Abstract: Graph problems are common across many fields, from scientific computing to social sciences. Despite their importance and the attention received, implementing graph algorithms effectively on ...