Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.13427
Cited By
Reliable Graph Neural Network Explanations Through Adversarial Training
25 June 2021
Donald Loveland
Shusen Liu
B. Kailkhura
A. Hiszpanski
Yong Han
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Reliable Graph Neural Network Explanations Through Adversarial Training"
15 / 15 papers shown
Title
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
FAtt
62
90
0
18 Apr 2021
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin
Hao Lan
Baochun Li
CML
59
177
0
14 Apr 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
156
145
0
05 Feb 2021
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNN
AI4TS
AI4CE
222
877
0
27 Jan 2021
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
75
337
0
12 Oct 2020
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Mengshu Sun
Caiwen Ding
B. Kailkhura
Xinyu Lin
OOD
AAML
39
7
0
25 Feb 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Q. Huang
M. Yamada
Yuan Tian
Dinesh Singh
Dawei Yin
Yi-Ju Chang
FAtt
90
357
0
17 Jan 2020
Generative Counterfactual Introspection for Explainable Deep Learning
Shusen Liu
B. Kailkhura
Donald Loveland
Yong Han
113
90
0
06 Jul 2019
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
91
1,843
0
06 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
150
1,328
0
10 Mar 2019
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
141
1,970
0
08 Oct 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
182
288
0
01 May 2018
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
644
29,076
0
09 Sep 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
280
19,107
0
20 Dec 2014
1