Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.05954
Cited By
Hierarchical Graph Pooling with Structure Learning
14 November 2019
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Hierarchical Graph Pooling with Structure Learning"
20 / 20 papers shown
Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li
Zhengyu Wu
Kaichi Yu
Hongchao Qin
Guang Zeng
Rong-Hua Li
Guoren Wang
32
0
0
02 May 2025
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
38
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
HAI
AI4CE
46
0
0
22 Feb 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Y. Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
100
0
0
03 Jan 2025
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
33
33
0
08 Oct 2023
MPool: Motif-Based Graph Pooling
Muhammad Ifte Khairul Islam
Max Khanov
Esra Akbas
12
4
0
07 Mar 2023
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
24
14
0
28 Jan 2023
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
213
0
0
08 Sep 2022
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
30
366
0
05 Aug 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
L. Zhang
16
24
0
14 Jul 2022
Understanding microbiome dynamics via interpretable graph representation learning
K. Melnyk
Kuba Weimann
Tim Conrad
19
5
0
02 Mar 2022
Projective Ranking-based GNN Evasion Attacks
He Zhang
Xingliang Yuan
Chuan Zhou
Shirui Pan
AAML
34
23
0
25 Feb 2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
Lalithkumar Seenivasan
Sai Mitheran
Mobarakol Islam
Hongliang Ren
30
32
0
28 Jan 2022
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
15
2
0
25 Nov 2021
Tree-Constrained Graph Neural Networks For Argument Mining
Federico Ruggeri
Marco Lippi
Paolo Torroni
16
3
0
02 Sep 2021
Label Contrastive Coding based Graph Neural Network for Graph Classification
Yuxiang Ren
Jiyang Bai
Jiawei Zhang
29
26
0
14 Jan 2021
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Mobarakol Islam
Seenivasan Lalithkumar
Lim Chwee Ming
Hongliang Ren
25
38
0
07 Jul 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang
Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Liang Zhan
AAML
16
27
0
23 May 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
1