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Adaptive Propagation Graph Convolutional Network

Adaptive Propagation Graph Convolutional Network

24 February 2020
Indro Spinelli
Simone Scardapane
A. Uncini
    GNN
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Papers citing "Adaptive Propagation Graph Convolutional Network"

10 / 10 papers shown
Title
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
45
6
0
27 Dec 2023
TeKo: Text-Rich Graph Neural Networks with External Knowledge
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Zhizhi Yu
Di Jin
Jianguo Wei
Ziyang Liu
Yue Shang
Yun Xiao
Jiawei Han
Lingfei Wu
11
4
0
15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
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
21
39
0
09 Jun 2022
Graph Attention Multi-Layer Perceptron
Graph Attention Multi-Layer Perceptron
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yang Li
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
22
97
0
09 Jun 2022
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
27
59
0
01 Mar 2022
Evaluating Deep Graph Neural Networks
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
16
31
0
02 Aug 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with
  Feature-Message Passing
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Bin Cui
19
9
0
20 Apr 2021
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lió
Petar Velickovic
GNN
13
648
0
12 Apr 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
229
1,935
0
09 Jun 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,230
0
24 Nov 2016
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