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Self-Explainable Graph Neural Networks for Link Prediction

Self-Explainable Graph Neural Networks for Link Prediction

21 May 2023
Huaisheng Zhu
Dongsheng Luo
Xianfeng Tang
Junjie Xu
Hui Liu
Suhang Wang
ArXiv (abs)PDFHTML

Papers citing "Self-Explainable Graph Neural Networks for Link Prediction"

24 / 24 papers shown
Title
Towards Responsible AI for Financial Transactions
Towards Responsible AI for Financial Transactions
Charl Maree
Jan Erik Modal
C. Omlin
AAML
95
17
0
06 Jun 2022
Exploring Edge Disentanglement for Node Classification
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
Xiang Zhang
Suhang Wang
101
35
0
23 Feb 2022
Neural Link Prediction with Walk Pooling
Neural Link Prediction with Walk Pooling
Liming Pan
Chen Shi
Ivan Dokmanić
74
52
0
08 Oct 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
116
229
0
21 Jun 2021
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph
  Networks
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Liang Qu
Huaisheng Zhu
Ruiqi Zheng
Yuhui Shi
Hongzhi Yin
91
100
0
05 Jun 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan
Haiyang Yu
Jie Wang
Kang Li
Shuiwang Ji
FAtt
83
395
0
09 Feb 2021
Interpreting Graph Neural Networks for NLP With Differentiable Edge
  Masking
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Schlichtkrull
Nicola De Cao
Ivan Titov
AI4CE
129
220
0
01 Oct 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Helen Zhou
Shuiwang Ji
91
401
0
03 Jun 2020
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
311
2,754
0
02 May 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural
  Networks
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Q. Huang
M. Yamada
Yuan Tian
Dinesh Singh
Dawei Yin
Yi-Ju Chang
FAtt
100
359
0
17 Jan 2020
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
160
712
0
28 Oct 2019
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
155
1,334
0
10 Mar 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Jiliang Tang
Dawei Yin
258
1,909
0
19 Feb 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,551
0
20 Dec 2018
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
173
1,366
0
14 Nov 2018
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
92
597
0
12 Aug 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
119
1,945
0
27 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
157
1,518
0
30 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
489
20,295
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
521
15,369
0
07 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
155
3,598
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
689
29,220
0
09 Sep 2016
A Review of Relational Machine Learning for Knowledge Graphs
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
196
1,583
0
02 Mar 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
247
4,884
0
21 Dec 2013
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