Hierarchical Graph Representation Learning with Differentiable Pooling

22 June 2018

Xiang Ren

Papers citing "Hierarchical Graph Representation Learning with Differentiable Pooling"

46 / 946 papers shown

Title
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
A Deep Generative Model for Graph Layout Oh-Hyun Kwon K. Ma DRL GNN 19 48 0 27 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 27 117 0 27 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 17 231 0 26 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 11 57 0 21 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs Guillaume Jaume An-phi Nguyen María Rodríguez Martínez Jean-Philippe Thiran M. Gabrani 19 22 0 18 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 21 99 0 18 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 11 1,105 0 17 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 10 58 0 06 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis Giannis Nikolentzos Stratis Limnios Michalis Vazirgiannis OCL 11 45 0 03 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Yizhou Sun Wei Wang 34 10 0 01 Apr 2019
Clique pooling for graph classification Enxhell Luzhnica Ben Day Pietro Lió GNN 14 36 0 31 Mar 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 15 402 0 28 Mar 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs Daniel T. Chang AI4CE BDL 18 7 0 21 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 20 1,282 0 10 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 27 256 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,230 0 06 Mar 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 28 215 0 20 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang T. Tan GNN 13 7 0 13 Feb 2019
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis Katsuhiko Ishiguro S. Maeda Masanori Koyama GNN 24 32 0 04 Feb 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding Sheng Zhou Jiajun Bu Xin Eric Wang Jiawei Chen Can Wang 15 24 0 31 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip H. S. Torr GNN 17 610 0 23 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi C. Alippi GNN 25 386 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 153 8,350 0 03 Jan 2019
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 20 494 0 24 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,396 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 39 1,320 0 11 Dec 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 25 31 0 23 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 12 18 0 17 Nov 2018
Graph Convolutional Neural Networks via Motif-based Attention Hao Peng Jianxin Li Qiran Gong Lihong Wang Yuanxing Ning Philip S. Yu GNN 11 12 0 11 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 14 32 0 08 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 15 188 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lió GNN 35 257 0 03 Nov 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Z. Ren Eric Zhao Jiliang Tang Dawei Yin GNN 19 236 0 24 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 61 1,605 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 28 7,445 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lió Yoshua Bengio R. Devon Hjelm GNN 42 2,337 0 27 Sep 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 17 271 0 16 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 24 99 0 10 Sep 2018
Graph Convolutional Neural Networks based on Quantum Vertex Saliency Lu Bai Yuhang Jiao Luca Rossi Lixin Cui Yue Wang Edwin R. Hancock GNN 9 31 0 04 Sep 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 16 313 0 16 Aug 2018
Relational dynamic memory networks Trang Pham T. Tran Svetha Venkatesh GNN 19 3 0 10 Aug 2018
Attention Models in Graphs: A Survey J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 10 162 0 20 Jul 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 11 191 0 24 Jun 2018
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels Nils M. Kriege Marion Neumann Christopher Morris Kristian Kersting Petra Mutzel 28 22 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016