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DDGK: Learning Graph Representations for Deep Divergence Graph Kernels

DDGK: Learning Graph Representations for Deep Divergence Graph Kernels

21 April 2019
Rami Al-Rfou
Dustin Zelle
Bryan Perozzi
ArXivPDFHTML

Papers citing "DDGK: Learning Graph Representations for Deep Divergence Graph Kernels"

12 / 12 papers shown
Title
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Meng-Chieh Lee
Lingxiao Zhao
Leman Akoglu
23
3
0
08 Feb 2024
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
72
142
0
11 Apr 2023
TF-GNN: Graph Neural Networks in TensorFlow
TF-GNN: Graph Neural Networks in TensorFlow
Oleksandr Ferludin
Arno Eigenwillig
Martin J. Blais
Dustin Zelle
Jan Pfeifer
...
Anton Tsitsulin
Kevin Villela
Lisa Wang
David Wong
Bryan Perozzi
GNN
18
35
0
07 Jul 2022
Interactive Visual Pattern Search on Graph Data via Graph Representation
  Learning
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
Huan Song
Zeng Dai
Panpan Xu
Liu Ren
NAI
GNN
33
10
0
18 Feb 2022
Graph-wise Common Latent Factor Extraction for Unsupervised Graph
  Representation Learning
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
Thilini Cooray
Ngai-man Cheung
27
6
0
16 Dec 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph
  Kernels
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Qingqing Long
Yilun Jin
Yi Wu
Guojie Song
44
37
0
07 Apr 2021
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
286
0
07 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
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
Is a Single Embedding Enough? Learning Node Representations that Capture
  Multiple Social Contexts
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Alessandro Epasto
Bryan Perozzi
22
103
0
06 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
66
513
0
29 Apr 2019
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
33
120
0
27 Apr 2019
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