Edge Contraction Pooling for Graph Neural Networks

27 May 2019

Papers citing "Edge Contraction Pooling for Graph Neural Networks"

20 / 20 papers shown

Title
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 153 0 0 03 Jan 2025
Edge-aware Hard Clustering Graph Pooling for Brain Imaging Cheng Zhu Jiayi Zhu Xi Wu Lijuan Zhang Shu-Huei Yang Ping Liang Honghan Chen Ying Tan 30 0 0 23 Aug 2023
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs Yuan Luo Lei Shi Mufan Xu Yuwen Ji Fengli Xiao Chunming Hu Zhiguang Shan 27 9 0 24 Apr 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 30 3 0 22 Mar 2023
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 50 373 0 05 Aug 2022
Contrastive Representation Learning for 3D Protein Structures Pedro Hermosilla Timo Ropinski 3DV 46 51 0 31 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 22 3 0 30 May 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 27 12 0 17 Feb 2022
Learning to Infer Kinematic Hierarchies for Novel Object Instances H. Abdul-Rashid Miles Freeman Ben Abbatematteo George Konidaris Daniel E. Ritchie 53 12 0 15 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 27 90 0 11 Oct 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 39 2 0 24 Sep 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 19 12 0 15 Jul 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals Andac Demir T. Koike-Akino Ye Wang M. Haruna Deniz Erdogmus 9 66 0 16 Jun 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 33 172 0 23 Feb 2021
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 17 153 0 12 Oct 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 18 13 0 11 Jun 2020
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end A. Nassar Stefano Dáronco Sébastien Lefèvre Jan Dirk Wegner ObjD 22 3 0 23 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 29 5 0 18 Mar 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 30 174 0 14 Nov 2019