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ROD: Reception-aware Online Distillation for Sparse Graphs

ROD: Reception-aware Online Distillation for Sparse Graphs

25 July 2021
Wentao Zhang
Yuezihan Jiang
Yang Li
Zeang Sheng
Yu Shen
Xupeng Miao
Liang Wang
Zhi-Xin Yang
Tengjiao Wang
ArXiv (abs)PDFHTML

Papers citing "ROD: Reception-aware Online Distillation for Sparse Graphs"

26 / 26 papers shown
Title
Efficient Diversity-Driven Ensemble for Deep Neural Networks
Efficient Diversity-Driven Ensemble for Deep Neural Networks
Wentao Zhang
Jiawei Jiang
Yingxia Shao
Tengjiao Wang
68
18
0
26 Dec 2021
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
144
221
0
03 Jul 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
73
76
0
24 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
189
3,650
0
06 Feb 2020
Structural Deep Clustering Network
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
73
496
0
05 Feb 2020
Online Knowledge Distillation with Diverse Peers
Online Knowledge Distillation with Diverse Peers
Defang Chen
Jian-Ping Mei
Can Wang
Yan Feng
Chun-Yen Chen
FedML
65
301
0
01 Dec 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
141
706
0
28 Oct 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
342
796
0
26 Aug 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
966
0
10 Jul 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
54
514
0
15 Jun 2019
Attributed Graph Clustering via Adaptive Graph Convolution
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang
Han Liu
Qimai Li
Xiao-Ming Wu
GNN
76
295
0
04 Jun 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
147
1,273
0
20 May 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on
  Graphs with Few Labels
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
Ke Sun
Zhouchen Lin
Zhanxing Zhu
SSL
103
276
0
28 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
244
3,174
0
19 Feb 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,360
0
14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
222
1,688
0
14 Oct 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
508
1,982
0
09 Jun 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNNGAN
59
446
0
13 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
144
1,513
0
30 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
189
2,826
0
22 Jan 2018
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
148
1,653
0
01 Jun 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,586
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
641
29,076
0
09 Sep 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
257
9,789
0
26 Mar 2014
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