Awesome XAI

Survey, Tutorial, Book

Repo

1 Like

Graph Interpretable

GNNExplainer: Generating Explanations for Graph Neural Networks (neurips.cc) 2019 420

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks | IEEE Journals & Magazine | IEEE Xplore 2022 171

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis - ScienceDirect 2021 20

Phys. Rev. Lett. 120, 145301 (2018) - Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties (aps.org) 2018 517

[2107.05097] BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis (arxiv.org)

From 2022

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks | IEEE Journals & Magazine | IEEE Xplore 171
Interpretable machine learning for knowledge generation in heterogeneous catalysis | Nature Catalysis 11

Graph Neural Networks | SpringerLink

Interpretable machine learning: Fundamental principles and 10 grand challenges (projecteuclid.org)

2021

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising | IEEE Journals & Magazine | IEEE Xplore
On Interpretability of Artificial Neural Networks: A Survey | IEEE Journals & Magazine | IEEE Xplore (Survey)
[2103.10689] Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond (arxiv.org)
Generative Causal Explanations for Graph Neural Networks (mlr.press)
Towards Self-Explainable Graph Neural Network | Proceedings of the 30th ACM International Conference on Information & Knowledge Management
Interpretable and Efficient Heterogeneous Graph Convolutional Network | IEEE Journals & Magazine | IEEE Xplore
Graph Neural Networks with Heterophily | Proceedings of the AAAI Conference on Artificial Intelligence
Explainability-based Backdoor Attacks Against Graph Neural Networks | Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning
An Overview on the Application of Graph Neural Networks in Wireless Networks | IEEE Journals & Magazine | IEEE Xplore

2020

A Comprehensive Survey on Graph Neural Networks | IEEE Journals & Magazine | IEEE Xplore (survey)
CVPR 2020 Open Access Repository (thecvf.com)

XGNN: Towards Model-Level Explanations of Graph Neural Networks | Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

[2012.15445] Explainability in Graph Neural Networks: A Taxonomic Survey (arxiv.org)

Evaluating Attribution for Graph Neural Networks (neurips.cc)

2021
Frontiers in Big Data Principles and Practice of Explainable Machine Learning

What Do We Want From Explainable Artificial Intelligence (XAI)? – A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research

Artificial intelligence explainability: the technical and ethical dimensions

Explainable artificial intelligence: a comprehensive review

Classification of Explainable Artificial Intelligence Methods through Their Output Formats