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. 1605.05273
  4. Cited By
Learning Convolutional Neural Networks for Graphs

Learning Convolutional Neural Networks for Graphs

17 May 2016
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
    GNN
    SSL
ArXivPDFHTML

Papers citing "Learning Convolutional Neural Networks for Graphs"

50 / 371 papers shown
Title
I Know You'll Be Back: Interpretable New User Clustering and Churn
  Prediction on a Mobile Social Application
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
Carl Yang
Xiaolin Shi
Luo Jie
Jiawei Han
HAI
24
82
0
29 Sep 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
29
0
0
26 Sep 2019
Quantum Graph Neural Networks
Quantum Graph Neural Networks
Guillaume Verdon
Trevor McCourt
Enxhell Luzhnica
Vikas Singh
Stefan Leichenauer
Jack Hidary
GNN
23
106
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
ViT
39
63
0
26 Sep 2019
Layerwise Relevance Visualization in Convolutional Text Graph
  Classifiers
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg
Marc Hübner
David Harbecke
Christoph Alt
Leonhard Hennig
FAtt
GNN
18
69
0
24 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended
  Animation
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
Jiawei Zhang
Lin Meng
21
52
0
12 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification
NEAR: Neighborhood Edge AggregatoR for Graph Classification
Cheolhyeong Kim
Haeseong Moon
H. Hwang
GNN
19
6
0
06 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
34
173
0
03 Sep 2019
On Proximity and Structural Role-based Embeddings in Networks:
  Misconceptions, Techniques, and Applications
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications
Ryan A. Rossi
Di Jin
Sungchul Kim
Nesreen Ahmed
Danai Koutra
J. B. Lee
30
38
0
22 Aug 2019
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Weikang Wang
Jiajun Zhang
Q. Li
Chengqing Zong
Zhifei Li
21
17
0
19 Aug 2019
Message Passing Attention Networks for Document Understanding
Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos
A. Tixier
Michalis Vazirgiannis
GNN
30
67
0
17 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
28
308
0
14 Aug 2019
Graph Node Embeddings using Domain-Aware Biased Random Walks
Graph Node Embeddings using Domain-Aware Biased Random Walks
Sourav Mukherjee
Tim Oates
Ryan Wright
8
1
0
08 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
50
844
0
31 Jul 2019
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph Networks
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNN
BDL
25
35
0
21 Jul 2019
PH-GCN: Person Re-identification with Part-based Hierarchical Graph
  Convolutional Network
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network
Bo Jiang
Xixi Wang
Bin Luo
14
19
0
20 Jul 2019
k-hop Graph Neural Networks
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
24
104
0
13 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao
Shuiwang Ji
GNN
25
57
0
05 Jul 2019
Network Embedding: on Compression and Learning
Network Embedding: on Compression and Learning
Esra Akbas
M. E. Aktas
GNN
21
9
0
05 Jul 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao
H. Xiong
P. Frossard
32
41
0
01 Jul 2019
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for
  Large-Scale Multi-Label Text Classification
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
Hao Peng
Jianxin Li
Qiran Gong
Senzhang Wang
Lifang He
Bo Li
Lihong Wang
Philip S. Yu
GNN
19
141
0
09 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling
FSPool: Learning Set Representations with Featurewise Sort Pooling
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
19
75
0
06 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph
  Classification
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu
Jingrui He
Jiejun Xu
GNN
27
196
0
05 Jun 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph
  Kernels
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
S. Du
Kangcheng Hou
Barnabás Póczós
Ruslan Salakhutdinov
Ruosong Wang
Keyulu Xu
23
271
0
30 May 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNN
AI4CE
27
2
0
30 May 2019
Path-Augmented Graph Transformer Network
Path-Augmented Graph Transformer Network
Benson Chen
Regina Barzilay
Tommi Jaakkola
ViT
GNN
28
59
0
29 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
25
568
0
27 May 2019
Graph Filtration Learning
Graph Filtration Learning
Christoph Hofer
Florian Graf
Bastian Rieck
Marc Niethammer
Roland Kwitt
22
96
0
27 May 2019
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
E. Tretschk
A. Tewari
Michael Zollhöfer
Vladislav Golyanik
Christian Theobalt
AI4CE
3DV
32
42
0
24 May 2019
Graph Convolutional Gaussian Processes
Graph Convolutional Gaussian Processes
Ian Walker
Ben Glocker
GNN
22
35
0
14 May 2019
Graph Attribute Aggregation Network with Progressive Margin Folding
Graph Attribute Aggregation Network with Progressive Margin Folding
Penghui Sun
J. Qu
Xiaoqing Lyu
Haibin Ling
Zhi Tang
GNN
14
3
0
14 May 2019
Correlated Variational Auto-Encoders
Correlated Variational Auto-Encoders
Da Tang
Dawen Liang
Tony Jebara
Nicholas Ruozzi
CML
GNN
24
21
0
14 May 2019
On Graph Classification Networks, Datasets and Baselines
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
22
19
0
12 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
39
1,066
0
11 May 2019
Fast Neural Network Approach for Direct Covariant Forces Prediction in
  Complex Multi-Element Extended Systems
Fast Neural Network Approach for Direct Covariant Forces Prediction in Complex Multi-Element Extended Systems
J. Mailoa
M. Kornbluth
Simon L. Batzner
G. Samsonidze
Stephen T Lam
Chris Ablitt
N. Molinari
Boris Kozinsky
20
53
0
07 May 2019
Stability and Generalization of Graph Convolutional Neural Networks
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
MLT
37
154
0
03 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 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
517
0
29 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNN
BDL
CML
37
198
0
24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
20
1
0
23 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network
RepGN:Object Detection with Relational Proposal Graph Network
Xingjian Du
Xuan Shi
Risheng Huang
ObjD
25
8
0
18 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
Guillaume Jaume
An-phi Nguyen
María Rodríguez Martínez
Jean-Philippe Thiran
M. Gabrani
32
22
0
18 Apr 2019
Deep Representation Learning for Social Network Analysis
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Xia Hu
AI4TS
GNN
27
100
0
18 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun Luo
3DPC
25
107
0
11 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations
Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng
Wenguan Wang
Siyuan Qi
Song-Chun Zhu
39
117
0
11 Apr 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Long Zhao
Xi Peng
Yu Tian
Mubbasir Kapadia
Dimitris N. Metaxas
3DH
16
505
0
06 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks
DAGCN: Dual Attention Graph Convolutional Networks
Fengwen Chen
Shirui Pan
Jing Jiang
Huan Huo
Guodong Long
GNN
30
50
0
04 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations
Rep the Set: Neural Networks for Learning Set Representations
Konstantinos Skianis
Giannis Nikolentzos
Stratis Limnios
Michalis Vazirgiannis
OCL
19
45
0
03 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedIm
GNN
42
56
0
31 Mar 2019
Table understanding in structured documents
Table understanding in structured documents
Martin Holecek
A. Hoskovec
P. Baudis
Pavel Klinger
LMTD
23
27
0
22 Mar 2019
Previous
12345678
Next