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Descriptive Kernel Convolution Network with Improved Random Walk Kernel

Descriptive Kernel Convolution Network with Improved Random Walk Kernel

8 February 2024
Meng-Chieh Lee
Lingxiao Zhao
Leman Akoglu
ArXivPDFHTML

Papers citing "Descriptive Kernel Convolution Network with Improved Random Walk Kernel"

16 / 16 papers shown
Title
On Evaluation Metrics for Graph Generative Models
On Evaluation Metrics for Graph Generative Models
Rylee Thompson
Boris Knyazev
Elahe Ghalebi
Jungtaek Kim
Graham W. Taylor
EGVM
66
42
0
24 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Aosong Feng
Chenyu You
Shiqiang Wang
Leandros Tassiulas
GNN
36
79
0
03 Jan 2022
Improving Graph Neural Network Expressivity via Subgraph Isomorphism
  Counting
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
Stefanos Zafeiriou
M. Bronstein
109
430
0
16 Jun 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
306
172
0
09 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
387
939
0
02 Mar 2020
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
Rami Al-Rfou
Dustin Zelle
Bryan Perozzi
43
57
0
21 Apr 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
AI4CE
GNN
972
5,493
0
20 Dec 2018
Pre-training Graph Neural Networks with Kernels
Pre-training Graph Neural Networks with Kernels
Nicoló Navarin
D. V. Tran
A. Sperduti
61
28
0
16 Nov 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
179
1,630
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
222
7,623
0
01 Oct 2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks
RetGK: Graph Kernels based on Return Probabilities of Random Walks
Zhen Zhang
Mianzhi Wang
Yijian Xiang
Yuanmin Huang
A. Nehorai
96
106
0
07 Sep 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
434
20,089
0
30 Oct 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
522
7,431
0
04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
585
28,999
0
09 Sep 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
SSL
62
130
0
20 May 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
430
43,234
0
11 Feb 2015
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