ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.02907
  4. Cited By
Semi-Supervised Classification with Graph Convolutional Networks
v1v2v3v4 (latest)

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNNSSL
ArXiv (abs)PDFHTML

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

50 / 11,315 papers shown
Title
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
457
2,066
0
17 Sep 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNNAI4TS
306
4,305
0
14 Sep 2017
Embedded-Graph Theory
Embedded-Graph Theory
Atsushi Yokoyama
GNN
35
0
0
14 Sep 2017
Learning Graph-Level Representation for Drug Discovery
Learning Graph-Level Representation for Drug Discovery
Junying Li
Deng Cai
Xiaofei He
GNNAI4CE
164
124
0
12 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GANAI4CE
268
26
0
11 Sep 2017
Induction of Decision Trees based on Generalized Graph Queries
Induction of Decision Trees based on Generalized Graph Queries
Pedro Almagro Blanco
Fernando Sancho-Caparrini
AI4CE
38
0
0
18 Aug 2017
Situation Recognition with Graph Neural Networks
Situation Recognition with Graph Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2017
Ruiyu Li
Makarand Tapaswi
Renjie Liao
Jiaya Jia
R. Urtasun
Sanja Fidler
GNN
155
139
0
14 Aug 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
191
8
0
10 Aug 2017
Deep Co-Space: Sample Mining Across Feature Transformation for
  Semi-Supervised Learning
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning
Ziliang Chen
Keze Wang
Tianlin Li
Pai Peng
E. Izquierdo
Liang Lin
96
10
0
28 Jul 2017
Graph-Based Classification of Omnidirectional Images
Graph-Based Classification of Omnidirectional Images
Renata Khasanova
P. Frossard
139
71
0
26 Jul 2017
Generalized Convolutional Neural Networks for Point Cloud Data
Generalized Convolutional Neural Networks for Point Cloud Data
Aleksandr Savchenkov
Andrew Davis
Xuan Zhao
3DV3DPC
163
6
0
20 Jul 2017
Can GAN Learn Topological Features of a Graph?
Can GAN Learn Topological Features of a Graph?
Weiyi Liu
Pin-Yu Chen
H. Cooper
Min Hwan Oh
S. Yeung
Toyotaro Suzumura
112
7
0
19 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
435
723
0
12 Jul 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN3DV
695
2,865
0
05 Jul 2017
Graph Convolution: A High-Order and Adaptive Approach
Graph Convolution: A High-Order and Adaptive Approach
Zhenpeng Zhou
Xiaocheng Li
GNN
150
25
0
29 Jun 2017
RelNet: End-to-End Modeling of Entities & Relations
RelNet: End-to-End Modeling of Entities & Relations
Trapit Bansal
Arvind Neelakantan
Andrew McCallum
GNNKELM3DV
107
24
0
22 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPCGNN
128
26
0
16 Jun 2017
Learning Large-Scale Topological Maps Using Sum-Product Networks
Learning Large-Scale Topological Maps Using Sum-Product Networks
Kaiyu Zheng
TPM
60
0
0
11 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on GraphsIEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
92
6
0
08 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond LatticesAAAI Conference on Artificial Intelligence (AAAI), 2017
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
188
57
0
08 Jun 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
297
1,389
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large GraphsNeural Information Processing Systems (NeurIPS), 2017
William L. Hamilton
Z. Ying
J. Leskovec
1.5K
17,617
0
07 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoningNeural Information Processing Systems (NeurIPS), 2017
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNNNAI
287
1,658
0
05 Jun 2017
Morphological Error Detection in 3D Segmentations
Morphological Error Detection in 3D Segmentations
David Rolnick
Yaron Meirovitch
T. Parag
Hanspeter Pfister
Viren Jain
J. Lichtman
E. Boyden
Nir Shavit
3DPC3DH
112
26
0
30 May 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
178
104
0
30 May 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDLCLL
369
127
0
27 May 2017
Good Semi-supervised Learning that Requires a Bad GAN
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
GAN
218
499
0
27 May 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
350
86
0
23 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
308
717
0
22 May 2017
Learning from Complementary Labels
Learning from Complementary Labels
Takashi Ishida
Gang Niu
Weihua Hu
Masashi Sugiyama
134
186
0
22 May 2017
Data-adaptive Active Sampling for Efficient Graph-Cognizant
  Classification
Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification
Dimitris Berberidis
G. Giannakis
148
13
0
19 May 2017
Active Learning for Graph Embedding
Active Learning for Graph Embedding
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
GNN
217
114
0
15 May 2017
Deep neural networks on graph signals for brain imaging analysis
Deep neural networks on graph signals for brain imaging analysis
Yiluan Guo
Hossein Nejati
Ngai-Man Cheung
GNN
141
28
0
13 May 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
  Data
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
GNN
108
93
0
26 Apr 2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum
  Disorder Classification
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification
Rushil Anirudh
Jayaraman J. Thiagarajan
128
91
0
24 Apr 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DVSSeg
249
1,336
0
22 Apr 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti
M. Bronstein
Xavier Bresson
GNN
324
540
0
22 Apr 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
178
417
0
20 Apr 2017
A Neural Model for User Geolocation and Lexical Dialectology
A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi
Trevor Cohn
Timothy Baldwin
FedML
123
81
0
13 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
638
1,304
0
10 Apr 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
1.2K
8,291
0
04 Apr 2017
Semi-supervised Embedding in Attributed Networks with Outliers
Semi-supervised Embedding in Attributed Networks with Outliers
Jiongqian Liang
Peter Jacobs
Jiankai Sun
Srinivasan Parthasarathy
BDL
149
111
0
23 Mar 2017
A survey of embedding models of entities and relationships for knowledge
  graph completion
A survey of embedding models of entities and relationships for knowledge graph completion
Dat Quoc Nguyen
272
100
0
23 Mar 2017
Semi-Supervised Learning with Competitive Infection Models
Semi-Supervised Learning with Competitive Infection Models
Nir Rosenfeld
Amir Globerson
SSL
353
6
0
19 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
593
5,469
0
17 Mar 2017
Spectral Graph Convolutions for Population-based Disease Prediction
Spectral Graph Convolutions for Population-based Disease Prediction
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
129
229
0
08 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Eliav Buchnik
E. Cohen
169
20
0
07 Mar 2017
Distance Metric Learning using Graph Convolutional Networks: Application
  to Functional Brain Networks
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
S. Ktena
Sarah Parisot
Enzo Ferrante
Martin Rajchl
M. J. Lee
Ben Glocker
Daniel Rueckert
GNN
283
207
0
07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
195
141
0
02 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
172
23
0
02 Mar 2017
Previous
123...225226227
Next