Graph Pooling for Graph Neural Networks: Progress, Challenges, and
Opportunities

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

15 April 2022

Yibing Zhan

Bo Du

Papers citing "Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities"

11 / 11 papers shown

Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 37 2 0 28 Oct 2024
Edge-Based Graph Component Pooling T. Snelleman B. M. Renting H. H. Hoos J. N. V. Rijn GNN 16 2 0 18 Sep 2024
Clustering for Protein Representation Learning Ruijie Quan Wenguan Wang Fan Ma Hehe Fan Yi Yang 24 5 0 30 Mar 2024
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 27 4 0 16 Oct 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
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization Miao Li Jianzhong Qi Jey Han Lau 15 11 0 12 Mar 2023
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model Shilin Pu Liang Chu Zhuoran Hou Jincheng Hu Yanjun Huang Yuanjian Zhang 208 0 0 08 Sep 2022
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan Jundong Liu M. Shi C. Wong K. Chan 19 11 0 19 Sep 2021
Graph Pooling via Coarsened Graph Infomax Yunsheng Pang Yunxiang Zhao Dongsheng Li GNN 27 41 0 04 May 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning Haoteng Tang Guixiang Ma Lifang He Heng-Chiao Huang Liang Zhan GNN 16 24 0 10 Dec 2020