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iPool -- Information-based Pooling in Hierarchical Graph Neural Networks

iPool -- Information-based Pooling in Hierarchical Graph Neural Networks

1 July 2019
Xing Gao
H. Xiong
P. Frossard
ArXivPDFHTML

Papers citing "iPool -- Information-based Pooling in Hierarchical Graph Neural Networks"

19 / 19 papers shown
Title
Clustering for Protein Representation Learning
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
34
5
0
30 Mar 2024
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling
  Utilizing Discarded Nodes
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes
Chuang Liu
Wenhang Yu
Kuang Gao
Xueqi Ma
Yibing Zhan
Jia Wu
Bo Du
Wenbin Hu
32
0
0
21 Nov 2023
Graph Neural Network-based EEG Classification: A Survey
Graph Neural Network-based EEG Classification: A Survey
D. Klepl
Min Wu
F. He
48
21
0
03 Oct 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop
  Graph Pooling
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
Chuang Liu
Yibing Zhan
Baosheng Yu
Liu Liu
Bo Du
Wenbin Hu
Tongliang Liu
35
11
0
22 Jun 2023
MPool: Motif-Based Graph Pooling
MPool: Motif-Based Graph Pooling
Muhammad Ifte Khairul Islam
Max Khanov
Esra Akbas
25
4
0
07 Mar 2023
SPGP: Structure Prototype Guided Graph Pooling
SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee
Dohoon Lee
Yinhua Piao
Sun Kim
42
1
0
16 Sep 2022
Generalizing Downsampling from Regular Data to Graphs
Generalizing Downsampling from Regular Data to Graphs
D. Bacciu
A. Conte
Francesco Landolfi
45
8
0
06 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
55
374
0
05 Aug 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Bo Du
Wenbin Hu
Danilo Mandic
42
29
0
18 Jul 2022
Tackling Provably Hard Representative Selection via Graph Neural
  Networks
Tackling Provably Hard Representative Selection via Graph Neural Networks
Seyed Mehran Kazemi
Anton Tsitsulin
Hossein Esfandiari
M. Bateni
Deepak Ramachandran
Bryan Perozzi
Vahab Mirrokni
29
2
0
20 May 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and
  Opportunities
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu
Yibing Zhan
Jia Wu
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
GNN
AI4CE
30
80
0
15 Apr 2022
Edge but not Least: Cross-View Graph Pooling
Edge but not Least: Cross-View Graph Pooling
Xiaowei Zhou
Jie Yin
Ivor W. Tsang
44
2
0
24 Sep 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural
  Networks
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh
Mohammadjavad Matinkia
Mohammad Rahmati
Reza Safabakhsh
27
20
0
03 Jul 2021
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph
  Clustering
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering
Yiming Wang
Dongxia Chang
Zhiqiang Fu
Yao Zhao
GNN
20
1
0
30 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for
  Graph Representation Learning
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu
Songlei Jian
Dongsheng Li
Yiming Zhang
Zhiquan Lai
Hongzuo Xu
39
30
0
13 Apr 2021
Implementing graph neural networks with TensorFlow-Keras
Implementing graph neural networks with TensorFlow-Keras
Patrick Reiser
André Eberhard
Pascal Friederich
GNN
21
15
0
07 Mar 2021
LookHops: light multi-order convolution and pooling for graph
  classification
LookHops: light multi-order convolution and pooling for graph classification
Zhangyang Gao
Haitao Lin
Stan. Z Li
24
6
0
28 Dec 2020
Graph Pooling with Node Proximity for Hierarchical Representation
  Learning
Graph Pooling with Node Proximity for Hierarchical Representation Learning
Xing Gao
Wenrui Dai
Chenglin Li
H. Xiong
P. Frossard
14
3
0
19 Jun 2020
Hierarchical Graph Pooling with Structure Learning
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
30
174
0
14 Nov 2019
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