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Reinforced Causal Explainer for Graph Neural Networks

Reinforced Causal Explainer for Graph Neural Networks

23 April 2022
Xiang Wang
Y. Wu
An Zhang
Fuli Feng
Xiangnan He
Tat-Seng Chua
    CML
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Papers citing "Reinforced Causal Explainer for Graph Neural Networks"

12 / 12 papers shown
Title
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
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
Zhifeng Hao
51
7
0
31 Dec 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu
Hongyang Gao
47
3
0
21 May 2024
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising
  Diffusion
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion
Jialin Chen
Shirley Wu
Abhijit Gupta
Rex Ying
DiffM
42
4
0
30 Oct 2023
Unstructured and structured data: Can we have the best of both worlds
  with large language models?
Unstructured and structured data: Can we have the best of both worlds with large language models?
W. Tan
18
1
0
25 Apr 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for
  Interpretable Brain Network-Based Psychiatric Diagnosis
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
Kaizhong Zheng
Shujian Yu
Badong Chen
CML
30
31
0
04 Jan 2023
GANExplainer: GAN-based Graph Neural Networks Explainer
GANExplainer: GAN-based Graph Neural Networks Explainer
Yiqiao Li
Jianlong Zhou
Boyuan Zheng
Fang Chen
LLMAG
37
4
0
30 Dec 2022
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective
Yu Zhao
Huaming Du
Qing Li
Fuzhen Zhuang
Ji Liu
Gang Kou
Gang Kou
30
1
0
28 Nov 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation
  Metrics
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Yiqiao Li
Jianlong Zhou
Sunny Verma
Fang Chen
XAI
34
39
0
26 Jul 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Sihang Li
Xiang Wang
An Zhang
Y. Wu
Xiangnan He
Tat-Seng Chua
21
93
0
16 Jun 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OOD
AI4CE
99
224
0
30 Jan 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
203
885
0
07 Jun 2018
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