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GraphRAG (Knowledge Graph RAG) and Graph Neural Networks over location based social media data using networkx, ArangoDB, LangChain and LangGraph

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Gowalla Data Processing Notebook

Overview

This Jupyter Notebook processes and analyzes location check-in data from the Gowalla dataset. The goal is to augment location data with additional attributes, filter user check-ins, and analyze friend network relationships.

Dataset Description

The dataset used in this notebook is

  1. Gowalla_totalCheckins.txt, which contains location-based social networking check-in data. It includes the following columns:
  • user: Unique user ID
  • time: Timestamp of check-in
  • lat, lon: Latitude and longitude of the location
  • loc: Unique location ID
  1. Gowalla_edges.txt which contains the friendship edge tuples.

Processed data URL

You can access the data used in the setup and run agent app section here https://www.mediafire.com/file/l7od1czcaaxhkyt/data.zip/file

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GraphRAG (Knowledge Graph RAG) and Graph Neural Networks over location based social media data using networkx, ArangoDB, LangChain and LangGraph

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