On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling

22 June 2023

Yibing Zhan

Bo Du

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Papers citing "On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling"

36 / 36 papers shown

Title
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction Guillaume Salha-Galvan J. Lutzeyer George Dasoulas Romain Hennequin Michalis Vazirgiannis 116 53 0 02 Feb 2022
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 453 94 0 11 Oct 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 73 73 0 24 Aug 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 82 258 0 16 May 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 109 177 0 23 Feb 2021
LookHops: light multi-order convolution and pooling for graph classification Zhangyang Gao Haitao Lin Stan. Z Li 58 6 0 28 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 84 25 0 10 Dec 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 26 10 0 03 Nov 2020
Topology-Aware Graph Pooling Networks Hongyang Gao Yi Liu Shuiwang Ji 52 90 0 19 Oct 2020
Graph Cross Networks with Vertex Infomax Pooling Maosen Li Siheng Chen Ya Zhang Ivor W. Tsang 104 60 0 05 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 248 828 0 16 Jul 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 75 31 0 08 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 311 2,752 0 02 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 550 953 0 02 Mar 2020
Structure-Feature based Graph Self-adaptive Pooling Liang Zhang Xudong Wang Hongsheng Li Guangming Zhu Peiyi Shen P. Li Xiaoyuan Lu Syed Afaq Ali Shah Bennamoun 63 64 0 30 Jan 2020
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 149 449 0 20 Dec 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 190 337 0 18 Nov 2019
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 88 178 0 14 Nov 2019
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks D. Bacciu Luigi Di Sotto GNN 130 27 0 07 Sep 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks Xing Gao H. Xiong P. Frossard 81 41 0 01 Jul 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 161 199 0 05 Jun 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 171 34 0 28 May 2019
Edge Contraction Pooling for Graph Neural Networks Frederik Diehl GNN 163 131 0 27 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 132 1,095 0 11 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 185 337 0 30 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 186 1,130 0 17 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 252 4,368 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 254 3,188 0 19 Feb 2019
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 204 260 0 03 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 263 7,710 0 01 Oct 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 115 1,945 0 27 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 486 20,265 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 521 15,369 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 686 29,183 0 09 Sep 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 232 3,356 0 30 Sep 2015
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 607 15,907 0 12 Nov 2013