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Relational Graph Convolutional Networks: A Closer Look

Relational Graph Convolutional Networks: A Closer Look

21 July 2021
Thiviyan Thanapalasingam
Lucas van Berkel
Peter Bloem
Paul T. Groth
    GNN
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Papers citing "Relational Graph Convolutional Networks: A Closer Look"

5 / 5 papers shown
Title
GREASE: Generate Factual and Counterfactual Explanations for GNN-based
  Recommendations
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Ziheng Chen
Fabrizio Silvestri
Jia Wang
Yongfeng Zhang
Zhenhua Huang
H. Ahn
Gabriele Tolomei
CML
15
27
0
04 Aug 2022
A Unification Framework for Euclidean and Hyperbolic Graph Neural
  Networks
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
Mehrdad Khatir
Nurendra Choudhary
Sutanay Choudhury
Khushbu Agarwal
Chandan K. Reddy
19
4
0
09 Jun 2022
Ensemble Multi-Relational Graph Neural Networks
Ensemble Multi-Relational Graph Neural Networks
Yuling Wang
Haonan Xu
Yanhua Yu
Mengdi Zhang
Zhenhao Li
Yuji Yang
Wei Yu Wu
28
7
0
24 May 2022
R-GCN: The R Could Stand for Random
R-GCN: The R Could Stand for Random
Vic Degraeve
Gilles Vandewiele
F. Ongenae
Sofie Van Hoecke
GNN
21
13
0
04 Mar 2022
Relational graph convolutional networks for predicting blood-brain
  barrier penetration of drug molecules
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules
Yan Ding
Xiaoqian Jiang
Yejin Kim
GNN
17
19
0
04 Jul 2021
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