Hierarchical Graph Pooling with Structure Learning

14 November 2019

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 41 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 94 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 10 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 210 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 25 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