Learning Convolutional Neural Networks for Graphs

17 May 2016

Papers citing "Learning Convolutional Neural Networks for Graphs"

50 / 371 papers shown

Title
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 27 912 0 18 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 39 16 0 09 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 257 0 06 Mar 2019
Differentiable Scene Graphs Moshiko Raboh Roei Herzig Gal Chechik Jonathan Berant Amir Globerson OCL 29 34 0 26 Feb 2019
Learning Vertex Convolutional Networks for Graph Classification Lu Bai Lixin Cui Shu Wu Yuhang Jiao Edwin R. Hancock GNN 19 1 0 26 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara 24 11 0 13 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 34 1 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 31 613 0 23 Jan 2019
Skeleton-based Action Recognition of People Handling Objects Sunoh Kim Kimin Yun Jongyoul Park J. Choi 29 37 0 21 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 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 170 8,393 0 03 Jan 2019
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 24 119 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 43 5,416 0 20 Dec 2018
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 18 2 0 13 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 59 1,321 0 11 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 29 21 0 03 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 38 224 0 03 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression Xiang Gao Wei Hu Jiaxiang Tang Jiaying Liu Zongming Guo 3DH GNN 32 23 0 29 Nov 2018
On Filter Size in Graph Convolutional Networks D. V. Tran Nicoló Navarin A. Sperduti GNN 49 50 0 23 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Outlier Aware Network Embedding for Attributed Networks S. Bandyopadhyay N. Lokesh M. Murty 37 92 0 19 Nov 2018
LinkNet: Relational Embedding for Scene Graph Sanghyun Woo Dahun Kim Donghyeon Cho In So Kweon GNN 15 147 0 15 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 22 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 21 188 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 41 257 0 03 Nov 2018
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network Xiaoyu Wang Cailian Chen Yang Min Jianping He Bo-Jun Yang Yangchao Zhang GNN AI4TS 27 42 0 02 Nov 2018
A Regularized Attention Mechanism for Graph Attention Networks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias OOD GNN 19 17 0 01 Nov 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection Chenhan Jiang Hang Xu Xiangdan Liang Liang Lin VLM ObjD 39 86 0 30 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo M. Jaeger P. Frasconi AI4CE 30 23 0 26 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 11 335 0 22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 127 1,660 0 14 Oct 2018
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 32 111 0 07 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 97 1,611 0 04 Oct 2018
Dual Convolutional Neural Network for Graph of Graphs Link Prediction Shonosuke Harada Hirotaka Akita Masashi Tsubaki Yukino Baba Ichigaku Takigawa Yoshihiro Yamanishi H. Kashima GNN AI4CE 24 9 0 04 Oct 2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes I. Lim A.C.A. Dielen M. Campen Leif Kobbelt 22 93 0 18 Sep 2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 19 26 0 15 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 22 487 0 14 Sep 2018
Part-based Graph Convolutional Network for Action Recognition Kalpit C. Thakkar P. J. Narayanan 3DH GNN 39 165 0 13 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection Zhen Cui Chunyan Xu Wenming Zheng Jian Yang GNN 22 50 0 11 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 30 100 0 10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 31 123 0 10 Sep 2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks Zhen Zhang Mianzhi Wang Yijian Xiang Yuanmin Huang A. Nehorai 19 105 0 07 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 21 316 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 33 588 0 12 Aug 2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes Manyi Li A. Patil Kai Xu S. Chaudhuri Owais Khan Ariel Shamir Changhe Tu Baoquan Chen Daniel Cohen-Or Hao Zhang 3DV VGen 45 139 0 24 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 16 118 0 10 Jul 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 13 192 0 24 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 108 2,126 0 22 Jun 2018