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Explainability Techniques for Graph Convolutional Networks

Explainability Techniques for Graph Convolutional Networks

31 May 2019
Federico Baldassarre
Hossein Azizpour
    GNN
    FAtt
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Papers citing "Explainability Techniques for Graph Convolutional Networks"

12 / 62 papers shown
Title
Graph Polish: A Novel Graph Generation Paradigm for Molecular
  Optimization
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
Chaojie Ji
Yijia Zheng
Ruxin Wang
Yunpeng Cai
Hongyan Wu
26
18
0
14 Aug 2020
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
626
0
01 Jul 2020
Explanation-based Weakly-supervised Learning of Visual Relations with
  Graph Networks
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
Federico Baldassarre
Kevin Smith
Josephine Sullivan
Hossein Azizpour
31
25
0
16 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
36
390
0
03 Jun 2020
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand
  Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance
  Propagation
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation
Hyeoncheol Cho
E. Lee
I. Choi
GNN
FAtt
25
4
0
12 May 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
31
7
0
21 Apr 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
29
45
0
27 Feb 2020
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
21
77
0
25 Dec 2019
Layerwise Relevance Visualization in Convolutional Text Graph
  Classifiers
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg
Marc Hübner
David Harbecke
Christoph Alt
Leonhard Hennig
FAtt
GNN
18
69
0
24 Sep 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Yuchen Zhang
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
33
5,416
0
20 Dec 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
439
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
283
1,401
0
01 Dec 2016
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