ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.09155
  4. Cited By
A Simple Baseline Algorithm for Graph Classification

A Simple Baseline Algorithm for Graph Classification

22 October 2018
Nathan de Lara
Edouard Pineau
ArXivPDFHTML

Papers citing "A Simple Baseline Algorithm for Graph Classification"

10 / 10 papers shown
Title
Weighted Spectral Embedding of Graphs
Weighted Spectral Embedding of Graphs
Thomas Bonald
Alexandre Hollocou
Marc Lelarge
46
9
0
28 Sep 2018
Mixed batches and symmetric discriminators for GAN training
Mixed batches and symmetric discriminators for GAN training
Thomas Lucas
Corentin Tallec
Jakob Verbeek
Yann Ollivier
32
37
0
19 Jun 2018
Learning Graph-Level Representations with Recurrent Neural Networks
Learning Graph-Level Representations with Recurrent Neural Networks
Yu Jin
Joseph Jaja
GNN
SSL
42
13
0
20 May 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
BDL
98
840
0
24 Feb 2018
Kernel Graph Convolutional Neural Networks
Kernel Graph Convolutional Neural Networks
Giannis Nikolentzos
Polykarpos Meladianos
A. Tixier
Konstantinos Skianis
Michalis Vazirgiannis
GNN
56
60
0
29 Oct 2017
graph2vec: Learning Distributed Representations of Graphs
graph2vec: Learning Distributed Representations of Graphs
A. Narayanan
Mahinthan Chandramohan
R. Venkatesan
Lihui Chen
Yang Liu
Shantanu Jaiswal
GNN
62
734
0
17 Jul 2017
Dynamics Based Features For Graph Classification
Dynamics Based Features For Graph Classification
Leonardo Gutierrez Gomez
Benjamin Chiêm
Jean-Charles Delvenne
21
14
0
30 May 2017
Stochastic Graphlet Embedding
Stochastic Graphlet Embedding
Anjan Dutta
H. Sahbi
37
28
0
01 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
408
14,191
0
02 Dec 2016
Propagation Kernels
Propagation Kernels
Marion Neumann
Roman Garnett
Christian Bauckhage
Kristian Kersting
57
261
0
13 Oct 2014
1