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 ...

Codebase for EGSAR_Explaining GNNs Using Optimal Transportation Plans Of Node Embeddings. This repository is the implementation of our EGSAR to the previous graph-attribution benchmark sets from ...

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 ...

In XAI, methods of feature selection, mechanistic interpretability, concept-based explainability, and training data attribution (TDA) have gained popularity. Today, we talk about TDA, which aims to ...