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Hierarchical Graph Representation Learning with Differentiable Pooling

Hierarchical Graph Representation Learning with Differentiable Pooling

22 June 2018
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
    GNN
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Papers citing "Hierarchical Graph Representation Learning with Differentiable Pooling"

50 / 946 papers shown
Title
Sparse hierarchical representation learning on molecular graphs
Sparse hierarchical representation learning on molecular graphs
M. Bal
Hagen Triendl
Mariana Assmann
M. Craig
Lawrence Phillips
J. Frost
Usman Bashir
Noor Shaker
V. Stojevic
GNN
8
1
0
06 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
38
840
0
31 Jul 2019
Node Attribute Generation on Graphs
Node Attribute Generation on Graphs
Xu Chen
Siheng Chen
Huangjie Zheng
Jiangchao Yao
Kenan Cui
Ya-Qin Zhang
Ivor W. Tsang
23
2
0
23 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
22
35
0
21 Jul 2019
k-hop Graph Neural Networks
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
21
104
0
13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
R. Kannan
Viktor Prasanna
GNN
60
948
0
10 Jul 2019
Influence maximization in unknown social networks: Learning Policies for
  Effective Graph Sampling
Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling
Harshavardhan Kamarthi
Priyesh Vijayan
Bryan Wilder
Balaraman Ravindran
Milind Tambe
8
38
0
08 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
17
57
0
05 Jul 2019
Network Embedding: on Compression and Learning
Network Embedding: on Compression and Learning
Esra Akbas
M. E. Aktas
GNN
11
9
0
05 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality
  Preservation
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo-feng Zhang
Lei Xie
GNN
26
55
0
04 Jul 2019
Bayesian Optimization on Large Graphs via a Graph Convolutional
  Generative Model: Application in Cardiac Model Personalization
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
Jwala Dhamala
S. Ghimire
J. Sapp
B. Horácek
Linwei Wang
MedIm
26
12
0
01 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
19
41
0
01 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
C. Alippi
GNN
16
39
0
30 Jun 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting
  Critical Structures
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
Ruo-Chun Tzeng
Shan-Hung Wu
GNN
11
13
0
23 Jun 2019
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
Guangyong Chen
Pengfei Chen
Chang-Yu Hsieh
Chee-Kong Lee
B. Liao
...
J. Qiu
Qiming Sun
Jie Tang
R. Zemel
Shengyu Zhang
11
75
0
22 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural
  Networks
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao
Huawei Shen
Jinhua Gao
Bingzheng Wei
Xueqi Cheng
GNN
14
130
0
21 Jun 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
27
46
0
21 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational
  Information Maximization
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Pengfei Chen
Weiwen Liu
Chang-Yu Hsieh
Guangyong Chen
Shengyu Zhang
17
21
0
13 Jun 2019
Multiple instance learning with graph neural networks
Multiple instance learning with graph neural networks
Ming Tu
Jing Huang
Xiaodong He
Bowen Zhou
6
59
0
12 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules
Hierarchical Graph-to-Graph Translation for Molecules
Wengong Jin
Regina Barzilay
Tommi Jaakkola
21
16
0
11 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
8
489
0
11 Jun 2019
Out-of-Vocabulary Embedding Imputation with Grounded Language
  Information by Graph Convolutional Networks
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks
Ziyi Yang
Chenguang Zhu
Vin Sachidananda
Eric F. Darve
13
4
0
10 Jun 2019
Attacking Graph Convolutional Networks via Rewiring
Attacking Graph Convolutional Networks via Rewiring
Yao Ma
Suhang Wang
Tyler Derr
Lingfei Wu
Jiliang Tang
AAML
GNN
19
82
0
10 Jun 2019
Redundancy-Free Computation Graphs for Graph Neural Networks
Redundancy-Free Computation Graphs for Graph Neural Networks
Zhihao Jia
Sina Lin
Rex Ying
Jiaxuan You
J. Leskovec
Alexander Aiken
GNN
21
11
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
17
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
16
195
0
05 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
11
2,100
0
31 May 2019
End to end learning and optimization on graphs
End to end learning and optimization on graphs
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
GNN
29
102
0
31 May 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
7
266
0
30 May 2019
Graph Learning Network: A Structure Learning Algorithm
Graph Learning Network: A Structure Learning Algorithm
Darwin Danilo Saire Pilco
Adín Ramirez Rivera
GNN
11
15
0
29 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
12
1,357
0
29 May 2019
Towards Interpretable Sparse Graph Representation Learning with
  Laplacian Pooling
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling
Emmanuel Noutahi
Dominique Beaini
Julien Horwood
Sébastien Giguère
Prudencio Tossou
AI4CE
14
34
0
28 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
18
445
0
27 May 2019
Incidence Networks for Geometric Deep Learning
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh
Daniele Bertolini
Siamak Ravanbakhsh
GNN
17
26
0
27 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
22
562
0
27 May 2019
Graph Filtration Learning
Graph Filtration Learning
Christoph Hofer
Florian Graf
Bastian Alexander Rieck
Marc Niethammer
Roland Kwitt
14
96
0
27 May 2019
Edge Contraction Pooling for Graph Neural Networks
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
GNN
13
130
0
27 May 2019
Mutual Information Maximization in Graph Neural Networks
Mutual Information Maximization in Graph Neural Networks
Xinhan Di
Pengqian Yu
Rui Bu
Mingchao Sun
27
21
0
21 May 2019
Function Space Pooling For Graph Convolutional Networks
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
23
3
0
15 May 2019
Embeddings and Representation Learning for Structured Data
Embeddings and Representation Learning for Structured Data
Benjamin Paassen
Claudio Gallicchio
A. Micheli
A. Sperduti
21
7
0
15 May 2019
Hierarchically Structured Meta-learning
Hierarchically Structured Meta-learning
Huaxiu Yao
Ying Wei
Junzhou Huang
Z. Li
30
203
0
13 May 2019
On Graph Classification Networks, Datasets and Baselines
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica
Ben Day
Pietro Lió
GNN
18
19
0
12 May 2019
Language in Our Time: An Empirical Analysis of Hashtags
Language in Our Time: An Empirical Analysis of Hashtags
Yang Zhang
15
26
0
11 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
25
1,062
0
11 May 2019
PiNet: A Permutation Invariant Graph Neural Network for Graph
  Classification
PiNet: A Permutation Invariant Graph Neural Network for Graph Classification
Peter Meltzer
Marcelo Daniel Gutierrez Mallea
Peter J Bentley
GNN
17
12
0
08 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
S. Zafeiriou
MedIm
3DH
23
161
0
08 May 2019
Understanding Attention and Generalization in Graph Neural Networks
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev
Graham W. Taylor
Mohamed R. Amer
GNN
6
336
0
08 May 2019
Single Image 3D Hand Reconstruction with Mesh Convolutions
Single Image 3D Hand Reconstruction with Mesh Convolutions
Dominik Kulon
Haoyang Wang
R. Güler
M. Bronstein
S. Zafeiriou
3DH
11
58
0
04 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
21
153
0
03 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
19
879
0
30 Apr 2019
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