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Rethinking Kernel Methods for Node Representation Learning on Graphs

Rethinking Kernel Methods for Node Representation Learning on Graphs

6 October 2019
Yu Tian
Long Zhao
Xi Peng
Dimitris N. Metaxas
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Papers citing "Rethinking Kernel Methods for Node Representation Learning on Graphs"

5 / 5 papers shown
Title
Interpretable Node Representation with Attribute Decoding
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen
Xi Chen
Liping Liu
30
4
0
03 Dec 2022
SSSNET: Semi-Supervised Signed Network Clustering
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He
Gesine Reinert
Songchao Wang
Mihai Cucuringu
21
28
0
13 Oct 2021
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
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
203
885
0
07 Jun 2018
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