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DeepGCNs: Can GCNs Go as Deep as CNNs?

DeepGCNs: Can GCNs Go as Deep as CNNs?

7 April 2019
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
    3DPC
    GNN
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Papers citing "DeepGCNs: Can GCNs Go as Deep as CNNs?"

38 / 238 papers shown
Title
Cross-modal Center Loss
Cross-modal Center Loss
Longlong Jing
Elahe Vahdani
Jiaxing Tan
Yingli Tian
3DPC
12
4
0
08 Aug 2020
Cascade Graph Neural Networks for RGB-D Salient Object Detection
Cascade Graph Neural Networks for RGB-D Salient Object Detection
Ao Luo
Xin Li
Fan Yang
Zhicheng Jiao
Hong Cheng
Siwei Lyu
24
107
0
07 Aug 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
27
132
0
27 Jul 2020
Deep Representation Learning For Multimodal Brain Networks
Deep Representation Learning For Multimodal Brain Networks
Wen Zhang
Liang Zhan
P. Thompson
Yalin Wang
MedIm
21
24
0
19 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix
  Factorization-based Perspective
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Qiang Liu
Haoli Zhang
Zhaocheng Liu
GNN
16
3
0
17 Jul 2020
Learning Part Boundaries from 3D Point Clouds
Learning Part Boundaries from 3D Point Clouds
Marios Loizou
Melinos Averkiou
E. Kalogerakis
3DPC
20
33
0
15 Jul 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
42
1,450
0
04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Mingyuan Ma
Sen Na
Hongyu Wang
GNN
26
28
0
03 Jul 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu
Han Hu
Yue Cao
Zheng-Wei Zhang
Xin Tong
3DPC
29
181
0
02 Jul 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Policy-GNN: Aggregation Optimization for Graph Neural Networks
Kwei-Herng Lai
Daochen Zha
Kaixiong Zhou
Xia Hu
21
90
0
26 Jun 2020
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG
  signals
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals
Shuyue Jia
Yimin Hou
Yan Shi
Yong Li
11
21
0
25 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
42
89
0
12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group
  Normalization
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou
Xiao Huang
Yuening Li
Daochen Zha
Rui Chen
Xia Hu
33
198
0
12 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
30
407
0
11 Jun 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu
Yu Chen
Xiaofei Xie
J. Siow
Yang Liu
23
163
0
09 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
35
2,658
0
02 May 2020
Peeking into occluded joints: A novel framework for crowd pose
  estimation
Peeking into occluded joints: A novel framework for crowd pose estimation
Lingteng Qiu
Xuanye Zhang
Yanran Li
Guanbin Li
Xiaojun Wu
Zixiang Xiong
Xiaoguang Han
Shuguang Cui
96
72
0
23 Mar 2020
Collaborative Motion Prediction via Neural Motion Message Passing
Collaborative Motion Prediction via Neural Motion Message Passing
Yue Hu
Siheng Chen
Ya Zhang
Xiao Gu
27
103
0
14 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
56
164
0
01 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
34
544
0
01 Mar 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural
  Network for Human Trajectory Prediction
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah A. Mohamed
Kun Qian
Mohamed Elhoseiny
Christian G. Claudel
GNN
22
694
0
27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
29
45
0
27 Feb 2020
FPConv: Learning Local Flattening for Point Convolution
FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin
Zizheng Yan
Haibin Huang
Dong Du
Ligang Liu
Shuguang Cui
Xiaoguang Han
3DPC
19
145
0
25 Feb 2020
Efficient and Stable Graph Scattering Transforms via Pruning
Efficient and Stable Graph Scattering Transforms via Pruning
V. Ioannidis
Siheng Chen
G. Giannakis
28
11
0
27 Jan 2020
Deep Snake for Real-Time Instance Segmentation
Deep Snake for Real-Time Instance Segmentation
Sida Peng
W. Jiang
Huaijin Pi
Xiuli Li
Hujun Bao
Xiaowei Zhou
ISeg
SSeg
37
299
0
06 Jan 2020
3D Hand Pose Estimation via Regularized Graph Representation Learning
3D Hand Pose Estimation via Regularized Graph Representation Learning
Yiming He
Wei Hu
3DH
19
7
0
04 Dec 2019
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection
  Refinement
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement
Jesus Zarzar
Silvio Giancola
Guohao Li
3DPC
21
62
0
27 Nov 2019
G-TAD: Sub-Graph Localization for Temporal Action Detection
G-TAD: Sub-Graph Localization for Temporal Action Detection
Mengmeng Xu
Chen Zhao
D. Rojas
Ali K. Thabet
Guohao Li
39
435
0
26 Nov 2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
24
1,469
0
25 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
51
154
0
18 Nov 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
On Universal Equivariant Set Networks
On Universal Equivariant Set Networks
Nimrod Segol
Y. Lipman
3DPC
25
63
0
06 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
30
1,079
0
07 Sep 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
33
80
0
14 Aug 2019
Graph Neural Networks: A Review of Methods and Applications
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
33
5,406
0
20 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
115
877
0
03 Feb 2017
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