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Towards Explanation for Unsupervised Graph-Level Representation Learning

Towards Explanation for Unsupervised Graph-Level Representation Learning

20 May 2022
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
L. Yao
Xiao Chang
ArXivPDFHTML

Papers citing "Towards Explanation for Unsupervised Graph-Level Representation Learning"

6 / 6 papers shown
Title
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
118
142
0
05 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
592
0
31 Dec 2020
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
93
224
0
24 Oct 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
144
195
0
20 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,684
0
28 Feb 2017
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