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Rethinking pooling in graph neural networks

Rethinking pooling in graph neural networks

22 October 2020
Diego Mesquita
Amauri Souza
Samuel Kaski
    GNN
    AI4CE
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Papers citing "Rethinking pooling in graph neural networks"

28 / 28 papers shown
Title
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
192
0
0
03 Jan 2025
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Matthew Sainsbury-Dale
A. Zammit‐Mangion
J. Richards
Raphael Huser
36
15
0
04 Oct 2023
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
33
7
0
23 Aug 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Kha-Dinh Luong
Mert Kosan
A. Silva
Ambuj K. Singh
41
6
0
25 May 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph
  Classification
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
33
16
0
17 Feb 2023
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang-Shu Liu
Yuwen Yang
Zhe Xie
Hongtao Lu
Yue Ding
39
4
0
01 Nov 2022
Universal Prompt Tuning for Graph Neural Networks
Universal Prompt Tuning for Graph Neural Networks
Taoran Fang
Yunchao Zhang
Yang Yang
Chunping Wang
Lei Chen
36
50
0
30 Sep 2022
Spotting Virus from Satellites: Modeling the Circulation of West Nile
  Virus Through Graph Neural Networks
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
Lorenzo Bonicelli
Angelo Porrello
Stefano Vincenzi
C. Ippoliti
F. Iapaolo
A. Conte
Simone Calderara
52
3
0
07 Sep 2022
Structural Entropy Guided Graph Hierarchical Pooling
Structural Entropy Guided Graph Hierarchical Pooling
Junran Wu
Xueyuan Chen
Ke Xu
Shangzhe Li
19
75
0
26 Jun 2022
Agent-based Graph Neural Networks
Agent-based Graph Neural Networks
Karolis Martinkus
Pál András Papp
Benedikt Schesch
Roger Wattenhofer
LLMAG
GNN
39
17
0
22 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Adrián Arnaiz-Rodríguez
Ahmed Begga
Francisco Escolano
Nuria Oliver
32
63
0
15 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-level Neural Networks: Current Progress and Future Directions
Ge Zhang
Jia Wu
Jian Yang
Shan Xue
Wenbin Hu
Chuan Zhou
Hao Peng
Quan.Z Sheng
Charu C. Aggarwal
GNN
AI4CE
49
0
0
31 May 2022
Embedding Graphs on Grassmann Manifold
Embedding Graphs on Grassmann Manifold
Bingxin Zhou
Xuebin Zheng
Yu Guang Wang
Ming Li
Junbin Gao
30
3
0
30 May 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural
  Networks
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui
Wei Dai
Yanqiao Zhu
Xuan Kan
Antonio Aodong Chen Gu
Joshua Lukemire
Liang Zhan
Lifang He
Ying Guo
Carl Yang
19
114
0
17 Mar 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
35
12
0
17 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
Structure-Aware Transformer for Graph Representation Learning
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen
Leslie O’Bray
Karsten M. Borgwardt
36
237
0
07 Feb 2022
Representing Long-Range Context for Graph Neural Networks with Global
  Attention
Representing Long-Range Context for Graph Neural Networks with Global Attention
Zhanghao Wu
Paras Jain
Matthew A. Wright
Azalia Mirhoseini
Joseph E. Gonzalez
Ion Stoica
GNN
46
261
0
21 Jan 2022
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural Networks
Daniele Grattarola
Daniele Zambon
F. Bianchi
Cesare Alippi
GNN
FAtt
AI4CE
30
90
0
11 Oct 2021
Tree-Constrained Graph Neural Networks For Argument Mining
Tree-Constrained Graph Neural Networks For Argument Mining
Federico Ruggeri
Marco Lippi
Paolo Torroni
26
3
0
02 Sep 2021
Pooling Architecture Search for Graph Classification
Pooling Architecture Search for Graph Classification
Lan Wei
Huan Zhao
Quanming Yao
Zhiqiang He
AI4CE
16
72
0
24 Aug 2021
On Positional and Structural Node Features for Graph Neural Networks on
  Non-attributed Graphs
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
15
80
0
03 Jul 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
31
0
13 Apr 2021
Graph Classification by Mixture of Diverse Experts
Graph Classification by Mixture of Diverse Experts
Fenyu Hu
Liping Wang
Shu Wu
Liang Wang
Tieniu Tan
42
10
0
29 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek
Minki Kang
Sung Ju Hwang
36
173
0
23 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
27
117
0
16 Dec 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
242
1,340
0
12 Feb 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
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