Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
A toolkit to do concept expansion via search engine snippet
This is my first project on processing a graph using it's adjacency matrix.
I discuss and demonstrate the impact of seed nodes selection on information diffusion in a network. I then show how insights obtained by data mining on a network can be integrated with a LLM - like Claude - by building connectors using the Model Context Protocol (MCP) architecture so that users can ask network related questions in natural language.
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