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TempME: Towards the Explainability of Temporal Graph Neural Networks via
  Motif Discovery

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

30 October 2023
Jialin Chen
Rex Ying
    AI4TS
ArXivPDFHTML

Papers citing "TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery"

11 / 11 papers shown
Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Pengfei Jiao
Hongjiang Chen
Xuan Guo
Zhidong Zhao
Dongxiao He
Di Jin
AI4CE
29
0
0
07 May 2025
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar
Nathan Griffiths
T. Popham
A. Bhalerao
AI4TS
LRM
67
0
0
06 Mar 2025
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
CML
AI4TS
BDL
23
0
0
23 Sep 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI:
  A Case Study of Model Interpretation in Geometric Deep Learning
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning
Jiajun Zhu
Siqi Miao
Rex Ying
Pan Li
38
1
0
30 Jun 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index
Explaining Graph Neural Networks via Structure-aware Interaction Index
Ngoc H. Bui
Hieu Trung Nguyen
Viet Anh Nguyen
Rex Ying
FAtt
35
4
0
23 May 2024
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs
Zhan Qu
Daniel Gomm
Michael Färber
CML
FAtt
28
1
0
25 Mar 2024
Learning High-Order Relationships of Brain Regions
Learning High-Order Relationships of Brain Regions
Weikang Qiu
Huangrui Chu
Selena Wang
Haolan Zuo
Xiaoxiao Li
Yize Zhao
Rex Ying
22
5
0
02 Dec 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
Wenqian Li
Yinchuan Li
Zhigang Li
Jianye Hao
Yan Pang
83
29
0
04 Mar 2023
Provably expressive temporal graph networks
Provably expressive temporal graph networks
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas K. Garg
87
54
0
29 Sep 2022
Explainable Machine Learning for Fraud Detection
Explainable Machine Learning for Fraud Detection
I. Psychoula
A. Gutmann
Pradip Mainali
Sharon H. Lee
Paul Dunphy
F. Petitcolas
FaML
35
35
0
13 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,592
0
04 May 2021
1