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Unveiling Global Interactive Patterns across Graphs: Towards
  Interpretable Graph Neural Networks

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks

2 July 2024
Yuwen Wang
Shunyu Liu
Tongya Zheng
Kaixuan Chen
Mingli Song
    AI4CE
ArXivPDFHTML

Papers citing "Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks"

3 / 3 papers shown
Title
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang
Yuwen Wang
Kaixuan Chen
Tongya Zheng
Yihe Zhou
Zhenbang Xiao
Ji Cao
Mingli Song
S. Liu
AI4CE
42
0
0
01 May 2025
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
25
1
0
06 Nov 2024
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
88
222
0
24 Oct 2020
1