Understanding Pooling in Graph Neural Networks

11 October 2021

Papers citing "Understanding Pooling in Graph Neural Networks"

46 / 46 papers shown

Title
Global graph features unveiled by unsupervised geometric deep learning Mirja Granfors Jesús Pineda Blanca Zufiria Gerbolés J. Pereira Carlo Manzo Giovanni Volpe 32 0 0 07 Mar 2025
Graph Pooling by Local Cluster Selection Yizhu Chen GNN 66 0 0 25 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 41 2 0 05 Nov 2024
DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions Stefano Fiorini Giulia M. Bovolenta Stefano Coniglio Michele Ciavotta Pietro Morerio Michele Parrinello Alessio Del Bue GNN AI4CE 86 0 0 09 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 18 1 0 09 Oct 2024
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection Yiye Wang Wenming Zheng Yang Li Hao Yang 21 0 0 08 Oct 2024
Implicit Neural Representation For Accurate CFD Flow Field Prediction L. D. Vito Nils Pinnau Simone Dey AI4CE 35 1 0 12 Aug 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 29 1 0 05 Jul 2024
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system Yuhui Jin GNN AIFin 21 5 0 04 Jul 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 39 1 0 13 Jun 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 44 1 0 22 May 2024
Boosting Graph Pooling with Persistent Homology Chaolong Ying Xinjian Zhao Tianshu Yu GNN AI4CE 21 3 0 26 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca C. Alippi F. Bianchi AI4TS 32 8 0 16 Feb 2024
Scalable Graph Self-Supervised Learning Ali Saheb Pasand Reza Moravej Mahdi Biparva Raika Karimi Ali Ghodsi SSL 11 0 0 14 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks Jonas Kneifl Jörg Fehr Steven L. Brunton J. Nathan Kutz AI4CE 22 1 0 14 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 2024
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems Siyuan Chen Xin Du Jiahai Wang 35 0 0 18 Jan 2024
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 11 0 0 21 Nov 2023
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning Kuangdai Leng Mallikarjun Shankar Jeyan Thiyagalingam 13 2 0 01 Nov 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon C. Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose Ilias Mitrai P. Daoutidis 6 4 0 10 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 23 14 0 04 Oct 2023
Imputing Brain Measurements Across Data Sets via Graph Neural Networks Yixin Wang Wei Peng S. Tapert Qingyu Zhao K. Pohl 17 1 0 19 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 30 10 0 14 Aug 2023
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 14 11 0 22 Jun 2023
Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting Yirong Chen Ziyue Li Wanli Ouyang M. Lepech AI4TS 19 5 0 15 Jun 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 23 6 0 15 Jun 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo P. Mandic C. Alippi AI4TS 24 9 0 30 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 51 0 15 May 2023
NervePool: A Simplicial Pooling Layer Sarah McGuire E. Munch M. Hirn 17 1 0 10 May 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini C. Alippi 22 0 0 11 Apr 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 6 28 0 04 Apr 2023
Graph state-space models Daniele Zambon Andrea Cini L. Livi C. Alippi 18 4 0 04 Jan 2023
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations Han Gao Xuhong Han Jiaoyang Huang Jian-Xun Wang Liping Liu ViT GNN 11 8 0 26 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 17 12 0 11 Nov 2022
Pooling Strategies for Simplicial Convolutional Networks Domenico Mattia Cinque Claudio Battiloro P. Lorenzo 22 5 0 11 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 17 3 0 06 Oct 2022
Deep learning and multi-level featurization of graph representations of microstructural data Reese E. Jones C. Safta A. Frankel AI4CE 25 4 0 29 Sep 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 11 8 0 18 Jul 2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search Xu Wang Huan Zhao Lanning Wei Quanming Yao AI4CE GNN 12 3 0 13 Jul 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 20 56 0 22 Jun 2022
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction Shuke Zhang Yan Jin Tianmeng Liu Qi Wang Zhaohui Zhang Shuliang Zhao Bo Shan 25 32 0 25 May 2022
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 14 77 0 15 Apr 2022
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 6 110 0 17 Mar 2022
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 167 170 0 09 Mar 2020
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 1,801 0 25 Nov 2016