Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis

22 August 2022

Xuanyuan Han

Pietro Barbiero

Dobrik Georgiev

Lucie Charlotte Magister

Pietro Lió

MILM

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Papers citing "Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis"

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Title
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 59 0 0 07 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 41 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 105 0 0 05 May 2025
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction Shengyao Lu Jiuding Yang Baochun Li Di Niu 48 0 0 12 Mar 2025
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning Zeyu Jiang Hai Huang Xingquan Zuo OffRL 52 0 0 02 Feb 2025
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 23 0 0 28 Oct 2024
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG) Yearim Kim Sangyu Han Sangbum Han Nojun Kwak 53 0 0 03 Sep 2024
Interpretable Graph Neural Networks for Heterogeneous Tabular Data Amr Alkhatib Henrik Bostrom LMTD 36 1 0 14 Aug 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 49 4 0 27 Jun 2024
Automated Molecular Concept Generation and Labeling with Large Language Models Shichang Zhang Botao Xia Zimin Zhang Qianli Wu Fang Sun Ziniu Hu Yizhou Sun 38 0 0 13 Jun 2024
GNNAnatomy: Systematic Generation and Evaluation of Multi-Level Explanations for Graph Neural Networks Hsiao-Ying Lu Yiran Li Ujwal Pratap Krishna Kaluvakolanu Thyagarajan Kwan-Liu Ma 27 1 0 06 Jun 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 37 3 0 21 May 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 33 9 0 04 Jan 2024
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 19 41 0 20 Dec 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 28 1 0 25 Nov 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 21 13 0 03 Oct 2023
Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib Sofiane Ennadir Henrik Bostrom Michalis Vazirgiannis LMTD 25 4 0 17 Aug 2023
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models Xingcheng Xu Zihao Pan Haipeng Zhang Yanqing Yang LRM 13 2 0 16 Aug 2023
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity S. Verma Burouj Armgaan Sourav Medya Sayan Ranu CML AI4CE 19 0 0 07 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 28 23 0 02 Jun 2023
Interpretable Neural-Symbolic Concept Reasoning Pietro Barbiero Gabriele Ciravegna Francesco Giannini M. Zarlenga Lucie Charlotte Magister Alberto Tonda Pietro Lio' F. Precioso M. Jamnik G. Marra NAI LRM 56 38 0 27 Apr 2023
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 26 7 0 28 Sep 2022
Message passing all the way up Petar Velickovic 109 63 0 22 Feb 2022
Algorithmic Concept-based Explainable Reasoning Dobrik Georgiev Pietro Barbiero Dmitry Kazhdan Petar Velivcković Pietro Lió 61 16 0 15 Jul 2021