Which-Rules-Entail-This-Fact

A game theoretic approach to explain the output of any machine learning model.

TerminusDB is a distributed database with a collaboration model

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

? A Python library for learning and evaluating knowledge graph embeddings

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Visualization toolkit for neural networks in PyTorch! Demo -->

Papers about explainability of GNNs

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet