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Towards Few-shot Self-explaining Graph Neural Networks

Towards Few-shot Self-explaining Graph Neural Networks

14 August 2024
Jingyu Peng
Qi Liu
Linan Yue
Zaixi Zhang
Kai Zhang
Yunhao Sha
    MILM
ArXivPDFHTML

Papers citing "Towards Few-shot Self-explaining Graph Neural Networks"

12 / 12 papers shown
Title
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
59
0
0
08 Mar 2025
Cooperative Classification and Rationalization for Graph Generalization
Cooperative Classification and Rationalization for Graph Generalization
Linan Yue
Qi Liu
Ye Liu
Weibo Gao
Fangzhou Yao
Wenfeng Li
64
10
0
10 Mar 2024
Interpretable Prototype-based Graph Information Bottleneck
Interpretable Prototype-based Graph Information Bottleneck
Sangwoo Seo
Sungwon Kim
Chanyoung Park
41
14
0
30 Oct 2023
Global Explainability of GNNs via Logic Combination of Learned Concepts
Global Explainability of GNNs via Logic Combination of Learned Concepts
Steve Azzolin
Antonio Longa
Pietro Barbiero
Pietro Lio
Andrea Passerini
35
54
0
13 Oct 2022
Graph Rationalization with Environment-based Augmentations
Graph Rationalization with Environment-based Augmentations
Gang Liu
Tong Zhao
Jiaxi Xu
Te Luo
Meng Jiang
OOD
45
82
0
06 Jun 2022
Causal Attention for Interpretable and Generalizable Graph
  Classification
Causal Attention for Interpretable and Generalizable Graph Classification
Yongduo Sui
Xiang Wang
Jiancan Wu
Min Lin
Xiangnan He
Tat-Seng Chua
CML
OOD
44
154
0
30 Dec 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
FAtt
45
88
0
18 Apr 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
Wenhao Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh Chawla
AI4CE
143
173
0
16 Feb 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
173
2,687
0
02 May 2020
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
109
1,300
0
10 Mar 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
134
7,554
0
01 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
748
11,793
0
09 Mar 2017
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