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MotifExplainer: a Motif-based Graph Neural Network Explainer
v1v2 (latest)

MotifExplainer: a Motif-based Graph Neural Network Explainer

1 February 2022
Zhaoning Yu
Hongyang Gao
ArXiv (abs)PDFHTML

Papers citing "MotifExplainer: a Motif-based Graph Neural Network Explainer"

10 / 10 papers shown
MotifDisco: Motif Causal Discovery For Time Series Motifs
MotifDisco: Motif Causal Discovery For Time Series Motifs
Josephine Lamp
M. Derdzinski
Christopher Hannemann
Sam Hatfield
Joost van der Linden
AI4TSCMLBDL
442
0
0
23 Sep 2024
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
Hsiao-Ying Lu
Yiran Li
Ujwal Pratap Krishna Kaluvakolanu Thyagarajan
K. Ma
449
1
0
06 Jun 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
417
9
0
21 May 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in
  Linear Time
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear TimeInternational Conference on Machine Learning (ICML), 2024
Shengyao Lu
Bang Liu
Keith G. Mills
Jiao He
Di Niu
487
7
0
02 May 2024
Improving the interpretability of GNN predictions through
  conformal-based graph sparsification
Improving the interpretability of GNN predictions through conformal-based graph sparsification
Pablo Sánchez-Martín
Kinaan Aamir Khan
Isabel Valera
349
5
0
18 Apr 2024
Higher-order Graph Attention Network for Stock Selection with Joint
  Analysis
Higher-order Graph Attention Network for Stock Selection with Joint Analysis
Yang Qiao
Yiping Xia
Xiang Li
Zheng Li
Yan Ge
AIFin
139
2
0
27 Jun 2023
Message-passing selection: Towards interpretable GNNs for graph
  classification
Message-passing selection: Towards interpretable GNNs for graph classification
Wen-Ding Li
Kaixuan Chen
Shunyu Liu
Wenjie Huang
Haofei Zhang
Yingjie Tian
Yun Su
Weilong Dai
376
1
0
03 Jun 2023
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks
  via Motifs
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via MotifsIEEE Transactions on Computational Social Systems (IEEE TCSS), 2022
Haibin Zheng
Haiyang Xiong
Jinyin Chen
Hao-Shang Ma
Guohan Huang
336
43
0
25 Oct 2022
L2XGNN: Learning to Explain Graph Neural Networks
L2XGNN: Learning to Explain Graph Neural NetworksMachine-mediated learning (ML), 2022
G. Serra
Mathias Niepert
336
12
0
28 Sep 2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for
  Graph Neural Networks
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Xiaoqi Wang
Hang Shen
306
56
0
15 Sep 2022
1
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