Within practical part of my bachelor thesis at HTW Berlin I have applied graph database Neo4j and Cypher query language for building 3 rule-based attribution models, and Markov Chains algorithm using ...

With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis. Graph Data Modeling in Python will guide you through ...

A PoC for a fractional attribution model leveraging first order Markov Chains. - jerednel ... Eva and Becker, Ingo and Wangenheim, Florian V. and Schumann, Jan Hendrik in " Mapping the Customer ...

The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of Name ...

According to Anthropic (@AnthropicAI), the company has open-sourced its method for generating 'attribution graphs' to trace the thought process of large language models, enabling researchers to ...