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DeepGCNs: Making GCNs Go as Deep as CNNs

DeepGCNs: Making GCNs Go as Deep as CNNs

15 October 2019
G. Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Bernard Ghanem
    3DPC
    GNN
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Papers citing "DeepGCNs: Making GCNs Go as Deep as CNNs"

14 / 14 papers shown
Title
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Thodoris Betsas
Andreas Georgopoulos
Anastasios Doulamis
Pierre Grussenmeyer
3DV
3DPC
28
1
0
04 Nov 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
28
0
0
26 Jul 2024
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness
  for Emotion Recognition in Textual Dialog
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog
Jiang Li
Xiaoping Wang
Zhigang Zeng
6
4
0
02 Jul 2023
Random Projection Forest Initialization for Graph Convolutional Networks
Random Projection Forest Initialization for Graph Convolutional Networks
Mashaan Alshammari
J. Stavrakakis
Adel F. Ahmed
M. Takatsuka
GNN
6
2
0
22 Feb 2023
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
Xin Liu
Xiaofei Shao
Boqian Wang
Yali Li
Shengjin Wang
GNN
22
32
0
19 Oct 2022
PointDistiller: Structured Knowledge Distillation Towards Efficient and
  Compact 3D Detection
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Linfeng Zhang
Runpei Dong
Hung-Shuo Tai
Kaisheng Ma
3DPC
64
42
0
23 May 2022
MAD: A Scalable Dataset for Language Grounding in Videos from Movie
  Audio Descriptions
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
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point
  Cloud Representation Learning
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian
Hasan Hammoud
Guohao Li
Ali K. Thabet
Bernard Ghanem
3DPC
15
68
0
20 Oct 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
40
95
0
01 Jul 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
178
907
0
02 Mar 2020
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
220
1,726
0
09 Jun 2018
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
208
809
0
04 Apr 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
145
760
0
30 Mar 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
113
864
0
03 Feb 2017
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