GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks

25 July 2021

Lucie Charlotte Magister

Papers citing "GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks"

32 / 32 papers shown

Title
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction Shengyao Lu Jiuding Yang Baochun Li Di Niu 48 0 0 12 Mar 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Z. Hao 46 7 0 31 Dec 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 18 0 0 28 Oct 2024
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts Shiye Su Iulia Duta Lucie Charlotte Magister Pietro Lio' FAtt 29 0 0 10 Oct 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 41 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 33 0 0 13 Jun 2024
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model Gabriele Dominici Pietro Barbiero Francesco Giannini M. Gjoreski Marc Langhenirich 28 3 0 26 May 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Zhaoning Yu Hongyang Gao 37 3 0 21 May 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification Matteo Bianchi Antonio De Santis Andrea Tocchetti Marco Brambilla MILM FAtt 14 1 0 06 May 2024
Global Concept Explanations for Graphs by Contrastive Learning Jonas Teufel Pascal Friederich 31 1 0 25 Apr 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 46 8 0 11 Mar 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
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians Alessandro Farace di Villaforesta Lucie Charlotte Magister Pietro Barbiero Pietro Lió 33 1 0 04 Dec 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 25 1 0 25 Nov 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 14 13 0 14 Sep 2023
SHARCS: Shared Concept Space for Explainable Multimodal Learning Gabriele Dominici Pietro Barbiero Lucie Charlotte Magister Pietro Lio' Nikola Simidjievski 15 4 0 01 Jul 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 25 0 0 15 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
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 14 1 0 25 May 2023
Interpretable Graph Networks Formulate Universal Algebra Conjectures Francesco Giannini S. Fioravanti Oguzhan Keskin A. Lupidi Lucie Charlotte Magister Pietro Lio' Pietro Barbiero AI4CE 11 3 0 17 May 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
GCI: A (G)raph (C)oncept (I)nterpretation Framework Dmitry Kazhdan B. Dimanov Lucie Charlotte Magister Pietro Barbiero M. Jamnik Pietro Lio' 8 2 0 09 Feb 2023
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 11 8 0 23 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio' AAML 15 0 0 14 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio' M. Jamnik DD AI4CE 17 5 0 11 Nov 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio' Bruno Lepri Andrea Passerini 44 27 0 27 Oct 2022
Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin Antonio Longa Pietro Barbiero Pietro Lio' Andrea Passerini 25 54 0 13 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 26 7 0 28 Sep 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 71 52 0 19 Sep 2022
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis Xuanyuan Han Pietro Barbiero Dobrik Georgiev Lucie Charlotte Magister Pietro Lió MILM 16 41 0 22 Aug 2022
Encoding Concepts in Graph Neural Networks Lucie Charlotte Magister Pietro Barbiero Dmitry Kazhdan F. Siciliano Gabriele Ciravegna Fabrizio Silvestri M. Jamnik Pietro Lio' 12 21 0 27 Jul 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 120 297 0 17 Oct 2019