Diffusion-Convolutional Neural Networks

6 November 2015

Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown

Title
PiNet: A Permutation Invariant Graph Neural Network for Graph Classification Peter Meltzer Marcelo Daniel Gutierrez Mallea Peter J Bentley GNN 22 12 0 08 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 37 154 0 03 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 36 884 0 30 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 24 24 0 24 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network Xingjian Du Xuan Shi Risheng Huang ObjD 25 8 0 18 Apr 2019
Relational Graph Attention Networks Dan Busbridge Dane Sherburn Pietro Cavallo Nils Y. Hammerla GNN 14 176 0 11 Apr 2019
Topological based classification of paper domains using graph convolutional networks I. Benami Keren Cohen Oved Nagar Y. Louzoun GNN 22 5 0 10 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 18 58 0 06 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 31 239 0 04 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 30 50 0 04 Apr 2019
MeshGAN: Non-linear 3D Morphable Models of Faces Shiyang Cheng M. Bronstein Yuxiang Zhou I. Kotsia Maja Pantic Stefanos Zafeiriou CVBM 3DH GAN 19 82 0 25 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 257 0 06 Mar 2019
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 18 6 0 04 Mar 2019
Learning Vertex Convolutional Networks for Graph Classification Lu Bai Lixin Cui Shu Wu Yuhang Jiao Edwin R. Hancock GNN 21 1 0 26 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 89 3,122 0 19 Feb 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 29 163 0 28 Jan 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
Multiple Graph Adversarial Learning Bo Jiang Ziyan Zhang Jin Tang Bin Luo 19 1 0 22 Jan 2019
Spherical CNNs on Unstructured Grids Chiyu “Max” Jingwei Huang K. Kashinath Lawrence Berkeley Nat’l Lab P. Marcus Matthias Niessner 27 182 0 07 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 172 8,393 0 03 Jan 2019
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 31 495 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 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
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification Shen Wang Zhengzhang Chen Ding Li L. Tang Jingchao Ni Zhichun Li J. Rhee Haifeng Chen Philip S. Yu 15 0 0 10 Dec 2018
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks Phillip E. Pope Soheil Kolouri Mohammad Rostami Charles E. Martin Heiko Hoffmann GNN 41 14 0 01 Dec 2018
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 118 158 0 28 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 2018
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation P. Ghosh Yi Yao L. Davis Ajay Divakaran 35 81 0 26 Nov 2018
Graph Learning-Convolutional Networks Bo Jiang Ziyan Zhang Doudou Lin Jin Tang GNN SSL 33 5 0 25 Nov 2018
On Filter Size in Graph Convolutional Networks D. V. Tran Nicoló Navarin A. Sperduti GNN 49 50 0 23 Nov 2018
SGR: Self-Supervised Spectral Graph Representation Learning Anton Tsitsulin Davide Mottin Panagiotis Karras A. Bronstein Emmanuel Müller SSL 12 6 0 15 Nov 2018
Graph Convolutional Neural Networks via Motif-based Attention Hao Peng Jianxin Li Qiran Gong Lihong Wang Yuanxing Ning Philip S. Yu GNN 15 12 0 11 Nov 2018
Gaussian-Induced Convolution for Graphs Jiatao Jiang Zhen Cui Chunyan Xu Jian Yang 32 24 0 11 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
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 25 11 0 01 Nov 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo M. Jaeger P. Frasconi AI4CE 30 23 0 26 Oct 2018
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 32 111 0 07 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 40 7,475 0 01 Oct 2018
Graph Diffusion-Embedding Networks Bo Jiang Doudou Lin Jin Tang GNN DiffM 18 0 0 01 Oct 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 32 32 0 26 Sep 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 28 1,344 0 25 Sep 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 16 76 0 17 Sep 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 28 271 0 16 Sep 2018
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds Lasse Hansen Jasper Diesel M. Heinrich DiffM 3DPC 18 7 0 14 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