DeepGCNs: Can GCNs Go as Deep as CNNs?

7 April 2019

Papers citing "DeepGCNs: Can GCNs Go as Deep as CNNs?"

43 / 92 papers shown

Title
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 18 41 0 15 Jun 2022
Region-enhanced Deep Graph Convolutional Networks for Rumor Detection Ge Wang Li Tan Tianbao Song Wen Wang Ziliang Shang GNN 29 1 0 15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 13 39 0 09 Jun 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven 17 88 0 24 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs Ziyan Zhang Bo Jiang Bin Luo GNN 17 1 0 26 Apr 2022
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders Yongqiang Mao Xian Sun Kaiqiang Chen Wenhui Diao Zonghao Guo Xiaonan Lu Kun Fu 3DPC 17 7 0 11 Apr 2022
Contrastive Boundary Learning for Point Cloud Segmentation Liyao Tang Yibing Zhan Zhe Chen Baosheng Yu Dacheng Tao 3DPC 9 102 0 10 Mar 2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification Dening Lu Qian Xie Linlin Xu Jonathan Li 3DV 8 65 0 02 Mar 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph Han Shi Jiahui Gao Hang Xu Xiaodan Liang Zhenguo Li Lingpeng Kong Stephen M. S. Lee James T. Kwok 8 70 0 17 Feb 2022
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction Jia-Xuan Bai Jie Guo Chenchen Wang Zhenyu Chen Zhen He Shan Yang Piaopiao Yu Yan Zhang Yanwen Guo 3DV 20 10 0 13 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 26 236 0 07 Feb 2022
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting Guanyao Li Shuhan Zhong Shueng-Han Gary Chan Ruiyuan Li Chih-Chieh Hung Wen-Chih Peng AI4TS 14 26 0 30 Dec 2021
One Sketch for All: One-Shot Personalized Sketch Segmentation Anran Qi Yulia Gryaditskaya Tao Xiang Yi-Zhe Song 19 16 0 20 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 8 39 0 02 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks Yiwei Wang Yujun Cai Yuxuan Liang Wei Wang Henghui Ding Muhao Chen Jing Tang Bryan Hooi 21 3 0 01 Dec 2021
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions Mattia Soldan Alejandro Pardo Juan Carlos León Alcázar Fabian Caba Heilbron Chen Zhao Silvio Giancola Bernard Ghanem VGen 32 95 0 01 Dec 2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning Rishikesh Magar Yuyang Wang Cooper Lorsung Chen Liang Hariharan Ramasubramanian Peiyuan Li A. Farimani 16 27 0 30 Nov 2021
diffConv: Analyzing Irregular Point Clouds with an Irregular View Manxi Lin Aasa Feragen GNN 3DPC 15 11 0 29 Nov 2021
PU-Transformer: Point Cloud Upsampling Transformer Shi Qiu Saeed Anwar Nick Barnes 3DPC ViT 8 50 0 24 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 25 1 0 16 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 16 61 0 08 Nov 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 16 73 0 28 Oct 2021
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning Guocheng Qian Hasan Hammoud Guohao Li Ali K. Thabet Bernard Ghanem 3DPC 17 68 0 20 Oct 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 41 34 0 23 Sep 2021
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs Abduallah A. Mohamed Huancheng Chen Zhangyang Wang Christian G. Claudel 3DH 25 3 0 21 Sep 2021
Differentiable Convolution Search for Point Cloud Processing Xing Nie Yongcheng Liu Shaohong Chen Jianlong Chang Chunlei Huo Gaofeng Meng Qi Tian Weiming Hu Chunhong Pan 3DPC 27 6 0 29 Aug 2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks Yuefan Shen Hongbo Fu Zhongshuo Du Xiang Chen Evgeny Burnaev Denis Zorin Kun Zhou Youyi Zheng AI4CE 25 36 0 11 Aug 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 42 11 0 21 Apr 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 95 0 10 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets Erik H. Thiede Wenda Zhou Risi Kondor GNN AI4CE 14 48 0 02 Mar 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 22 77 0 22 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis Ruixuan Yu Xin Wei Federico Tombari Jian Sun 3DPC 6 37 0 18 Nov 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks Chen Wang Chengyuan Deng GNN 16 4 0 21 Oct 2020
Tracklets Predicting Based Adaptive Graph Tracking Chaobing Shan Chunbo Wei Bing Deng Jianqiang Huang Xiansheng Hua Xiaoliang Cheng K. Liang VOT 12 9 0 18 Oct 2020
PointManifold: Using Manifold Learning for Point Cloud Classification Dinghao Yang Wei Gao 3DPC 13 4 0 14 Oct 2020
Deep Representation Learning For Multimodal Brain Networks Wen Zhang Liang Zhan P. Thompson Yalin Wang MedIm 11 24 0 19 Jul 2020
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals Shuyue Jia Yimin Hou Yan Shi Y. Li 9 20 0 25 Jun 2020
Collaborative Motion Prediction via Neural Motion Message Passing Yue Hu Siheng Chen Ya-Qin Zhang Xiao Gu 19 103 0 14 Mar 2020
On Universal Equivariant Set Networks Nimrod Segol Y. Lipman 3DPC 9 62 0 06 Oct 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 223 1,726 0 09 Jun 2018
Image Generation from Scene Graphs Justin Johnson Agrim Gupta Li Fei-Fei GNN 208 809 0 04 Apr 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 864 0 03 Feb 2017