Deep Convolutional Networks on Graph-Structured Data

16 June 2015

Joan Bruna

Papers citing "Deep Convolutional Networks on Graph-Structured Data"

50 / 316 papers shown

Title
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention Junbo Yin Jianbing Shen Chenye Guan Dingfu Zhou Ruigang Yang 3DPC 26 137 0 03 Apr 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 60 0 26 Mar 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries Han Yang Xingjian Zhen Ying Chi Lei Zhang Xiansheng Hua MedIm 19 43 0 19 Mar 2020
Feedback Graph Convolutional Network for Skeleton-based Action Recognition Hao Yang D. Yan Ling Zhang Dong Li Yunda Sun Shaodi You Stephen J. Maybank 51 104 0 17 Mar 2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks Chixiang Ma Lei-huan Sun Zhuoyao Zhong Qiang Huo 36 56 0 16 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection Kaihua Zhang Tengpeng Li Shiwen Shen Bo Liu Jin Chen Qingshan Liu 29 96 0 13 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks Lumin Yang Jiajie Zhuang Hongbo Fu Xiangzhi Wei Kun Zhou Youyi Zheng 48 31 0 02 Mar 2020
FPConv: Learning Local Flattening for Point Convolution Yiqun Lin Zizheng Yan Haibin Huang Dong Du Ligang Liu Shuguang Cui Xiaoguang Han 3DPC 22 145 0 25 Feb 2020
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention Haoxing Lin Weijia Jia Yongjian You Yiping Sun AI4TS 30 6 0 22 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 40 100 0 19 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 23 612 0 19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 23 23 0 17 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas J. Guibas 3DH 3DPC 3DV 18 29 0 06 Feb 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 24 30 0 17 Jan 2020
Tensor Graph Convolutional Networks for Text Classification Xien Liu Xinxin You Xiao Zhang Ji Wu Ping Lv GNN 24 245 0 12 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks Zhiyong Dou Haotian Cui Lin Zhang Bo Wang DiffM GNN 18 6 0 05 Jan 2020
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition Jialin Gao Tong He Xiaoping Zhou Shiming Ge 27 18 0 24 Dec 2019
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition Konstantinos Papadopoulos Enjie Ghorbel Djamila Aouada Björn E. Ottersten GNN 93 42 0 20 Dec 2019
A literature survey of matrix methods for data science Martin Stoll 28 20 0 17 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
Dual-Attention Graph Convolutional Network Xueyao Zhang Tong Zhang Wenting Zhao Zhen Cui Jian Yang GNN 25 8 0 28 Nov 2019
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 25 49 0 19 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 23 330 0 18 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 27 97 0 17 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 27 133 0 12 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark Coates BDL GNN 38 12 0 08 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 72 947 0 06 Nov 2019
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling Yi-Ling Qiao Lin Gao Jie Yang Paul L. Rosin Yu-Kun Lai Xilin Chen 3DV 3DPC 35 12 0 30 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 68 687 0 28 Oct 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes Greg Yang 33 194 0 28 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 32 5 0 15 Oct 2019
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces Akiyoshi Sannai Masaaki Imaizumi M. Kawano MLT 28 29 0 15 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 56 162 0 07 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 47 262 0 06 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani M. Liakata GNN 42 3 0 03 Oct 2019
Quantum Graph Neural Networks Guillaume Verdon Trevor McCourt Enxhell Luzhnica Vikas Singh Stefan Leichenauer Jack Hidary GNN 23 106 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 33 62 0 25 Sep 2019
Spatial Graph Convolutional Networks Tomasz Danel Przemysław Spurek Jacek Tabor Marek Śmieja Lukasz Struski Agnieszka Słowik Lukasz Maziarka GNN 32 10 0 11 Sep 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 29 96 0 11 Sep 2019
Context-Aware Graph Attention Networks Bo Jiang Leiling Wang Jin Tang Bin Luo GNN 20 4 0 04 Sep 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 30 67 0 17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning Zhijiang Guo Yan Zhang Zhiyang Teng Wei Lu GNN 24 130 0 16 Aug 2019
Graph Node Embeddings using Domain-Aware Biased Random Walks Sourav Mukherjee Tim Oates Ryan Wright 8 1 0 08 Aug 2019
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuan Yu-Kun Lai J. Yang Hongbo Fu Lin Gao 3DPC 34 31 0 07 Aug 2019
Image Classification with Hierarchical Multigraph Networks Boris Knyazev Xiaoyu Lin Mohamed R. Amer Graham W. Taylor GNN BDL 25 35 0 21 Jul 2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds Xiuye Gu Yijie Wang Chongruo Wu Yong Jae Lee Panqu Wang 3DPC 32 206 0 12 Jun 2019
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification Pinlong Zhao Linlin Hou Ou Wu GNN 35 172 0 11 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 42 421 0 06 Jun 2019