ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.03401
  4. Cited By
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised
  Classification

E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification

6 May 2024
Xin Zhang
Daochen Zha
Qiaoyu Tan
ArXivPDFHTML

Papers citing "E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification"

30 / 30 papers shown
Title
Collaborative Graph Neural Networks for Attributed Network Embedding
Collaborative Graph Neural Networks for Attributed Network Embedding
Qiaoyu Tan
Xin Zhang
Xiao Shi Huang
Haojun Chen
Jundong Li
Xia Hu
116
11
0
22 Jul 2023
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
66
34
0
14 Jun 2022
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
Stephan Patrick Baller
Anshul Jindal
Mohak Chadha
Michael Gerndt
38
71
0
21 Aug 2021
On Graph Neural Network Ensembles for Large-Scale Molecular Property
  Prediction
On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
E. Kosasih
J. Cabezas
Xavier Sumba
Piotr Bielak
Kamil Tagowski
Kelvin Idanwekhai
Benedict Aaron Tjandra
Arian R. Jamasb
AI4CE
24
9
0
29 Jun 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
78
476
0
10 Jun 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Hongyu Ren
Maho Nakata
Yuxiao Dong
J. Leskovec
AI4CE
72
411
0
17 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An
  Effective Knowledge Distillation Framework
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang
Jiawei Liu
C. Shi
65
128
0
04 Mar 2021
A Survey on Ensemble Learning under the Era of Deep Learning
A Survey on Ensemble Learning under the Era of Deep Learning
Yongquan Yang
Haijun Lv
Ning Chen
OOD
99
190
0
21 Jan 2021
Towards Understanding Ensemble, Knowledge Distillation and
  Self-Distillation in Deep Learning
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
FedML
126
374
0
17 Dec 2020
Reinforced Multi-Teacher Selection for Knowledge Distillation
Reinforced Multi-Teacher Selection for Knowledge Distillation
Fei Yuan
Linjun Shou
J. Pei
Wutao Lin
Ming Gong
Yan Fu
Daxin Jiang
44
122
0
11 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
132
1,228
0
04 Nov 2020
Towards Deeper Graph Neural Networks
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNN
AI4CE
98
605
0
18 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
119
1,485
0
04 Jul 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
303
2,730
0
02 May 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
210
231
0
23 Mar 2020
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
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph
  Classification
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
Ting-Li Chen
Song Bian
Yizhou Sun
97
88
0
11 May 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
226
4,339
0
06 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
764
8,533
0
03 Jan 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
1.1K
5,517
0
20 Dec 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
220
1,688
0
14 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
240
7,653
0
01 Oct 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
199
4,355
0
24 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
287
479
0
12 Jun 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
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,138
0
30 Oct 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
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,443
0
04 Apr 2017
Clipper: A Low-Latency Online Prediction Serving System
Clipper: A Low-Latency Online Prediction Serving System
D. Crankshaw
Xin Wang
Giulio Zhou
Michael Franklin
Joseph E. Gonzalez
Ion Stoica
59
674
0
09 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
620
29,051
0
09 Sep 2016
1