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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
Fake News Detection in Social Media using Graph Neural Networks and NLP
  Techniques: A COVID-19 Use-case
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
A. Hamid
Nasrullah Shiekh
Naina Said
Kashif Ahmad
Asma Gul
Laiq Hassan
Ala I. Al-Fuqaha
24
37
0
30 Nov 2020
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph
  Pooling Fusion
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
Sijie Mai
Songlong Xing
Jiaxuan He
Ying Zeng
Haifeng Hu
GNN
11
21
0
27 Nov 2020
Efficient Information Diffusion in Time-Varying Graphs through Deep
  Reinforcement Learning
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
Matheus R. F. Mendonça
André Barreto
A. Ziviani
19
6
0
27 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
26
76
0
25 Nov 2020
AutoGraph: Automated Graph Neural Network
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
27
43
0
23 Nov 2020
Design Space for Graph Neural Networks
Design Space for Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
GNN
AI4CE
33
315
0
17 Nov 2020
Two-stage Training of Graph Neural Networks for Graph Classification
Two-stage Training of Graph Neural Networks for Graph Classification
Manh Tuan Do
Noseong Park
Kijung Shin
GNN
16
10
0
10 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges
Graph Kernels: State-of-the-Art and Future Challenges
Karsten M. Borgwardt
Elisabetta Ghisu
Felipe Llinares-López
Leslie O’Bray
Bastian Alexander Rieck
AI4TS
31
103
0
07 Nov 2020
Learning on Attribute-Missing Graphs
Learning on Attribute-Missing Graphs
Xu Chen
Siheng Chen
Jiangchao Yao
Huangjie Zheng
Ya Zhang
Ivor W Tsang
32
86
0
03 Nov 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks
Sampling and Recovery of Graph Signals based on Graph Neural Networks
Siheng Chen
Maosen Li
Ya Zhang
29
4
0
03 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Metapath- and Entity-aware Graph Neural Network for Recommendation
Metapath- and Entity-aware Graph Neural Network for Recommendation
Muhammad Umer Anwaar
Zhiwei Han
Shyam Arumugaswamy
Rayyan Ahmad Khan
Thomas Weber
Tianming Qiu
Hao Shen
Yuanting Liu
M. Kleinsteuber
21
8
0
22 Oct 2020
Joint Use of Node Attributes and Proximity for Semi-Supervised
  Classification on Graphs
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
Arpit Merchant
M. Mathioudakis
15
1
0
22 Oct 2020
Rethinking pooling in graph neural networks
Rethinking pooling in graph neural networks
Diego Mesquita
Amauri Souza
Samuel Kaski
GNN
AI4CE
28
116
0
22 Oct 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
151
195
0
20 Oct 2020
Topology-Aware Graph Pooling Networks
Topology-Aware Graph Pooling Networks
Hongyang Gao
Yi Liu
Shuiwang Ji
15
89
0
19 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
  Neural Networks
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
18
328
0
12 Oct 2020
Multivariate Time Series Classification with Hierarchical Variational
  Graph Pooling
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Ziheng Duan
Haoyan Xu
Yueyang Wang
Yida Huang
Anni Ren
Qianru Zhang
Yizhou Sun
Wei Wang
AI4TS
18
57
0
12 Oct 2020
Graph Information Bottleneck for Subgraph Recognition
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
30
153
0
12 Oct 2020
Towards Expressive Graph Representation
Towards Expressive Graph Representation
Chengsheng Mao
Liang Yao
Yuan Luo
26
2
0
12 Oct 2020
Locality Preserving Dense Graph Convolutional Networks with Graph
  Context-Aware Node Representations
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations
Wenfeng Liu
Maoguo Gong
Zedong Tang
•. A. K. Qin
GNN
39
13
0
12 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture
  Search
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Jovita Lukasik
David Friede
Arber Zela
Frank Hutter
M. Keuper
29
19
0
09 Oct 2020
A Survey of Knowledge-Enhanced Text Generation
A Survey of Knowledge-Enhanced Text Generation
Wenhao Yu
Chenguang Zhu
Zaitang Li
Zhiting Hu
Qingyun Wang
Heng Ji
Meng Jiang
32
279
0
09 Oct 2020
Graph Cross Networks with Vertex Infomax Pooling
Graph Cross Networks with Vertex Infomax Pooling
Maosen Li
Siheng Chen
Ya Zhang
Ivor W. Tsang
27
58
0
05 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
36
176
0
05 Oct 2020
Efficient Colon Cancer Grading with Graph Neural Networks
Efficient Colon Cancer Grading with Graph Neural Networks
Franziska Lippoldt
GNN
MedIm
26
2
0
02 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks
Multi-grained Semantics-aware Graph Neural Networks
Zhiqiang Zhong
Chengzong Li
Jun Pang
AI4CE
19
8
0
01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
43
226
0
30 Sep 2020
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule
  Properties
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
Zeren Shui
George Karypis
29
62
0
26 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node
  Classification from an Optimization Perspective
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
Hongwei Zhang
Tijin Yan
Zenjun Xie
Yuanqing Xia
Yuan Zhang
GNN
21
24
0
24 Sep 2020
GraphCrop: Subgraph Cropping for Graph Classification
GraphCrop: Subgraph Cropping for Graph Classification
Yiwei Wang
Wei Wang
Keli Zhang
Yujun Cai
Bryan Hooi
25
57
0
22 Sep 2020
Explainable, Stable, and Scalable Graph Convolutional Networks for
  Learning Graph Representation
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
Ping-En Lu
Cheng-Shang Chang
GNN
6
3
0
22 Sep 2020
Uncertainty-aware Attention Graph Neural Network for Defending
  Adversarial Attacks
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
Boyuan Feng
Yuke Wang
Zhilin Wang
Yufei Ding
AAML
19
34
0
22 Sep 2020
Scalable Adversarial Attack on Graph Neural Networks with Alternating
  Direction Method of Multipliers
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
Boyuan Feng
Yuke Wang
Xu Li
Yufei Ding
GNN
AAML
16
2
0
22 Sep 2020
Learned Low Precision Graph Neural Networks
Learned Low Precision Graph Neural Networks
Yiren Zhao
Duo Wang
Daniel Bates
Robert D. Mullins
M. Jamnik
Pietro Lio
GNN
39
34
0
19 Sep 2020
Contrastive Self-supervised Learning for Graph Classification
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng
P. Xie
SSL
41
153
0
13 Sep 2020
Certified Robustness of Graph Classification against Topology Attack
  with Randomized Smoothing
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
Zhidong Gao
Rui Hu
Yanmin Gong
AAML
OOD
8
16
0
12 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
48
117
0
11 Sep 2020
Privacy Analysis of Deep Learning in the Wild: Membership Inference
  Attacks against Transfer Learning
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
Yang Zou
Zhikun Zhang
Michael Backes
Yang Zhang
MIACV
17
32
0
10 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
30
47
0
08 Sep 2020
Beyond Observed Connections : Link Injection
Beyond Observed Connections : Link Injection
Jie Bu
M. Maruf
Arka Daw
GNN
19
0
0
02 Sep 2020
Lifelong Graph Learning
Lifelong Graph Learning
Chen Wang
Yuheng Qiu
Dasong Gao
Sebastian Scherer
CLL
GNN
AI4CE
28
51
0
01 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for
  Graph Representation Learning
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li
Yanbang Wang
Hongwei Wang
J. Leskovec
GNN
31
12
0
31 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers
  for Analyzing Data Analysis
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ashley Ge Zhang
Michael Merrill
Yang Liu
Jeffrey Heer
Tim Althoff
ViT
28
13
0
28 Aug 2020
Graph Convolutional Neural Networks with Node Transition
  Probability-based Message Passing and DropNode Regularization
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
T. Do
Duc Minh Nguyen
Giannis Bekoulis
Adrian Munteanu
Nikos Deligiannis
19
36
0
28 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
25
5
0
26 Aug 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree
  Hierarchy
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He
Arpan Man Sainju
Zhe Jiang
Da Yan
18
9
0
25 Aug 2020
Tree Structure-Aware Graph Representation Learning via Integrated
  Hierarchical Aggregation and Relational Metric Learning
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
Ziyue Qiao
Pengyang Wang
Yanjie Fu
Yi Du
P. Wang
Yuanchun Zhou
25
18
0
23 Aug 2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of
  Tabular NAS Benchmarks
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Arber Zela
Julien N. Siems
Lucas Zimmer
Jovita Lukasik
M. Keuper
Frank Hutter
42
76
0
22 Aug 2020
A comparative study of similarity-based and GNN-based link prediction
  approaches
A comparative study of similarity-based and GNN-based link prediction approaches
K. Islam
Sabeur Aridhi
Malika Smaïl-Tabbone
25
10
0
20 Aug 2020
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