Interpreting Graph Neural Networks for NLP With Differentiable Edge
Masking

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Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

1 October 2020

Michael Schlichtkrull

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Papers citing "Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking"

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Title
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis Ying Zeng Sijie Mai Haifeng Hu 78 20 0 10 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 97 46 0 20 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 113 98 0 04 Oct 2021
A Meta-Learning Approach for Training Explainable Graph Neural Networks Indro Spinelli Simone Scardapane A. Uncini 99 22 0 20 Sep 2021
Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction Guoshun Nan Guoqing Luo Sicong Leng Yao Xiao Wei Lu 99 8 0 11 Sep 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 52 27 0 11 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 85 111 0 01 Jul 2021
Reimagining GNN Explanations with ideas from Tabular Data Anjali Singh K. ShamanthRNayak Balaji Ganesan LMTD 50 1 0 23 Jun 2021
Towards Automated Evaluation of Explanations in Graph Neural Networks Bannihati Kumar Vanya Balaji Ganesan Aniket Saxena Devbrat Sharma Arvind Agarwal XAI GNN 46 4 0 22 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 77 53 0 16 Jun 2021
SEEN: Sharpening Explanations for Graph Neural Networks using Explanations from Neighborhoods Hyeoncheol Cho Youngrock Oh Eunjoo Jeon FAtt 27 0 0 16 Jun 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 92 41 0 18 May 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros FAtt 90 92 0 18 Apr 2021
Mediators in Determining what Processing BERT Performs First Aviv Slobodkin Leshem Choshen Omri Abend MoE 136 15 0 13 Apr 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 395 0 09 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 206 146 0 05 Feb 2021
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 106 223 0 05 Jun 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao Michael Schlichtkrull Wilker Aziz Ivan Titov 76 92 0 30 Apr 2020