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Interpretable Prototype-based Graph Information Bottleneck

Interpretable Prototype-based Graph Information Bottleneck

30 October 2023
Sangwoo Seo
Sungwon Kim
Chanyoung Park
ArXivPDFHTML

Papers citing "Interpretable Prototype-based Graph Information Bottleneck"

9 / 9 papers shown
Title
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji
Ying Sun
Hengshu Zhu
46
1
0
17 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Xuexin Chen
Ruichu Cai
Zhengting Huang
Zijian Li
Jie Zheng
Min Wu
46
0
0
08 Mar 2025
GINTRIP: Interpretable Temporal Graph Regression using Information
  bottleneck and Prototype-based method
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method
Ali Royat
Seyed Mohamad Moghadas
Lesley De Cruz
Adrian Munteanu
26
0
0
17 Sep 2024
Towards Few-shot Self-explaining Graph Neural Networks
Towards Few-shot Self-explaining Graph Neural Networks
Jingyu Peng
Qi Liu
Linan Yue
Zaixi Zhang
Kai Zhang
Yunhao Sha
MILM
24
2
0
14 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view
  Reconstruction and Information Bottleneck
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
Yuntao Shou
Haozhi Lan
Xiangyong Cao
38
11
0
01 Aug 2024
Incorporating Retrieval-based Causal Learning with Information
  Bottlenecks for Interpretable Graph Neural Networks
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks
Jiahua Rao
Jiancong Xie
Hanjing Lin
Shuangjia Zheng
Zhen Wang
Yuedong Yang
23
0
0
07 Feb 2024
Conditional Graph Information Bottleneck for Molecular Relational
  Learning
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee
Dongmin Hyun
Gyoung S. Na
Sungwon Kim
Junseok Lee
Chanyoung Park
38
23
0
29 Apr 2023
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
593
0
31 Dec 2020
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
93
224
0
24 Oct 2020
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