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Hierarchical Graph Pooling with Structure Learning
v1v2v3 (latest)

Hierarchical Graph Pooling with Structure Learning

14 November 2019
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Graph Pooling with Structure Learning"

50 / 74 papers shown
Title
The Generalized Skew Spectrum of Graphs
The Generalized Skew Spectrum of Graphs
Armando Bellante
Martin Plávala
Alessandro Luongo
42
0
0
29 May 2025
MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
Rishabh Bhattacharya
Hari Shankar
Vaishnavi Shivkumar
Ponnurangam Kumaraguru
41
0
0
26 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Miao Hu
Zhengyu Wu
Kaichi Yu
Hongchao Qin
Guang Zeng
Rong-Hua Li
Guoren Wang
69
0
0
02 May 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
Zhengyu Wu
Boyang Pang
Miao Hu
Yinlin Zhu
Daohan Su
Bowen Fan
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
77
0
0
14 Apr 2025
Federated Prototype Graph Learning
Federated Prototype Graph Learning
Zhengyu Wu
Miao Hu
Yinlin Zhu
Rong-Hua Li
Guoren Wang
Chenghu Zhou
FedML
121
0
0
13 Apr 2025
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
Han Lei
Jiaxing Xu
Xia Dong
Yiping Ke
GNN
83
0
0
06 Apr 2025
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Thomas Bailie
Yun Sing Koh
S. Karthik Mukkavilli
V. Vetrova
AI4TS
250
0
0
01 Apr 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
Amaya Gallagher-Syed
Henry Senior
Omnia Alwazzan
Elena Pontarini
Michele Bombardieri
C. Pitzalis
M. Lewis
Michael Barnes
Luca Rossi
Gregory G. Slabaugh
127
0
0
26 Mar 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Dongsheng Chen
Yu Feng
Xun Li
Mingya Qu
Peng Luo
Liqiu Meng
HAIAI4CE
89
2
0
22 Feb 2025
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
430
0
0
03 Jan 2025
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based
  Approach
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
Tanvir Hossain
Khaled Mohammed Saifuddin
Muhammad Ifte Khairul Islam
Farhan Tanvir
Esra Akbas
57
0
0
16 Jul 2024
Graph Pooling via Ricci Flow
Graph Pooling via Ricci Flow
Amy Feng
Melanie Weber
AI4CE
69
3
0
05 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
Krishna Sri Ipsit Mantri
Xinzhi Wang
Carola-Bibiane Schönlieb
Bruno Ribeiro
Beatrice Bevilacqua
Moshe Eliasof
GNN
94
2
0
02 Jul 2024
Multimodal Physiological Signals Representation Learning via Multiscale
  Contrasting for Depression Recognition
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
Kai Shao
Rui Wang
Yixue Hao
Long Hu
Min Chen
Hans Arno Jacobsen
64
3
0
22 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and
  Generalizability
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Pengyun Wang
Junyu Luo
Yanxin Shen
Siyu Heng
Xiao Luo
100
1
0
13 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification
Motif-driven Subgraph Structure Learning for Graph Classification
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Jiawei Chen
Qingyun Sun
Yan Feng
Chun-Yen Chen
Can Wang
99
1
0
13 Jun 2024
Graph Parsing Networks
Graph Parsing Networks
Yunchong Song
Siyuan Huang
Xinbing Wang
Cheng Zhou
Zhouhan Lin
GNN
86
3
0
22 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning
Rethinking Node-wise Propagation for Large-scale Graph Learning
Miao Hu
Jingyuan Ma
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
103
13
0
09 Feb 2024
Flexible Infinite-Width Graph Convolutional Neural Networks
Flexible Infinite-Width Graph Convolutional Neural Networks
Ben Anson
Edward Milsom
Laurence Aitchison
SSLGNN
71
1
0
09 Feb 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph
  Representation Learning
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
Miao Hu
Meihao Liao
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
89
8
0
22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology
  Heterogeneity
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Miao Hu
Zhengyu Wu
Wentao Zhang
Henan Sun
Ronghua Li
Guoren Wang
FedML
103
11
0
22 Jan 2024
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with
  NFT
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
Zhen Zhang
B. Luo
Shengliang Lu
Bingsheng He
89
15
0
18 Oct 2023
Exponential Quantum Communication Advantage in Distributed Inference and
  Learning
Exponential Quantum Communication Advantage in Distributed Inference and Learning
H. Michaeli
D. Gilboa
Daniel Soudry
Jarrod R. McClean
FedML
34
1
0
11 Oct 2023
GSLB: The Graph Structure Learning Benchmark
GSLB: The Graph Structure Learning Benchmark
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
...
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
100
37
0
08 Oct 2023
Visualizing Topological Importance: A Class-Driven Approach
Visualizing Topological Importance: A Class-Driven Approach
Yu Qin
Brittany Terese Fasy
C. Wenk
Brian Summa
FAtt
43
0
0
22 Sep 2023
Contrastive Graph Pooling for Explainable Classification of Brain
  Networks
Contrastive Graph Pooling for Explainable Classification of Brain Networks
Jiaxing Xu
Qingtian Bian
Xinhang Li
Aihu Zhang
Yiping Ke
Miao Qiao
Wei Zhang
Wei Khang Jeremy Sim
Balázs Gulyás
67
3
0
07 Jul 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
98
11
0
22 Jun 2023
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Yuan Luo
Lei Shi
Mufan Xu
Yuwen Ji
Fengli Xiao
Chunming Hu
Zhiguang Shan
55
9
0
24 Apr 2023
MPool: Motif-Based Graph Pooling
MPool: Motif-Based Graph Pooling
Muhammad Ifte Khairul Islam
Max Khanov
Esra Akbas
74
4
0
07 Mar 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
75
14
0
28 Jan 2023
FedRule: Federated Rule Recommendation System with Graph Neural Networks
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Yuhang Yao
Mohammad Mahdi Kamani
Zhongwei Cheng
Lin Chen
Carlee Joe-Wong
Tianqiang Liu
46
17
0
13 Nov 2022
Pooling Strategies for Simplicial Convolutional Networks
Pooling Strategies for Simplicial Convolutional Networks
Domenico Mattia Cinque
Claudio Battiloro
P. Lorenzo
76
5
0
11 Oct 2022
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
AI4CE
97
25
0
05 Oct 2022
Graph Classification via Discriminative Edge Feature Learning
Graph Classification via Discriminative Edge Feature Learning
Yang Yi
Xuequan Lu
Shang Gao
A. Robles-Kelly
Yuejie Zhang
GNN
66
7
0
05 Oct 2022
SPGP: Structure Prototype Guided Graph Pooling
SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee
Dohoon Lee
Yinhua Piao
Sun Kim
62
1
0
16 Sep 2022
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition
  Prediction Model
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
253
0
0
08 Sep 2022
A Class-Aware Representation Refinement Framework for Graph
  Classification
A Class-Aware Representation Refinement Framework for Graph Classification
Jiaxing Xu
Jinjie Ni
Yiping Ke
GNN
62
4
0
02 Sep 2022
Position-aware Structure Learning for Graph Topology-imbalance by
  Relieving Under-reaching and Over-squashing
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Qingyun Sun
Jianxin Li
Haonan Yuan
Xingcheng Fu
Hao Peng
Cheng Ji
Qian Li
Philip S. Yu
79
39
0
17 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
GNNAI4CE
125
419
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
Di Lin
Wenbin Hu
Danilo Mandic
79
32
0
18 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
  Model
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
Li Zhang
77
26
0
14 Jul 2022
Boosting Graph Structure Learning with Dummy Nodes
Boosting Graph Structure Learning with Dummy Nodes
Xin Liu
Cheng Jiayang
Yangqiu Song
Xin Jiang
3DH
68
24
0
17 Jun 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and
  Future Directions
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Sheng Zhou
Hongjia Xu
Zhuonan Zheng
Jiawei Chen
Zhao Li
Jiajun Bu
Jia Wu
Xin Eric Wang
Wenwu Zhu
Martin Ester
99
103
0
15 Jun 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
Hongzhi Zhang
Chang Li
Bo Du
Wenbin Hu
Tongliang Liu
Dacheng Tao
GNNAI4CE
112
82
0
15 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in
  non-Euclidean domain for biological and healthcare applications
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
Michael M. Bronstein
83
8
0
01 Apr 2022
Supervised Contrastive Learning with Structure Inference for Graph
  Classification
Supervised Contrastive Learning with Structure Inference for Graph Classification
Hao Jia
Junzhong Ji
Minglong Lei
75
11
0
15 Mar 2022
Understanding microbiome dynamics via interpretable graph representation
  learning
Understanding microbiome dynamics via interpretable graph representation learning
K. Melnyk
Kuba Weimann
Tim Conrad
74
6
0
02 Mar 2022
Projective Ranking-based GNN Evasion Attacks
Projective Ranking-based GNN Evasion Attacks
He Zhang
Lizhen Qu
Chuan Zhou
Shirui Pan
AAML
87
24
0
25 Feb 2022
GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on
  Graph Attention Network
GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network
Li Zhou
Minhuan Huang
Yujun Li
Yuanping Nie
Jin Li
Yiwei Liu
49
7
0
05 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural
  Networks
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu
Hongyang Gao
73
45
0
01 Feb 2022
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