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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models

14 August 2019
Ke Sun
Zhanxing Zhu
Zhouchen Lin
    GNN
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Papers citing "AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models"

13 / 13 papers shown
Title
COMBHelper: A Neural Approach to Reduce Search Space for Graph
  Combinatorial Problems
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
Hao Tian
Sourav Medya
Wei Ye
13
4
0
14 Dec 2023
Mixture of Weak & Strong Experts on Graphs
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
23
3
0
09 Nov 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate
  Over-Smoothing
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Zhaoliang Chen
Zhihao Wu
Zhe-Hui Lin
Shiping Wang
Claudia Plant
Wenzhong Guo
27
18
0
14 Apr 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via
  Prompt Augmented by ChatGPT
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
Jiawei Zhang
LRM
23
76
0
10 Apr 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and
  Over-smoothing
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
16
61
0
03 Feb 2023
Graph Fuzzy System: Concepts, Models and Algorithms
Graph Fuzzy System: Concepts, Models and Algorithms
F. Hu
Zhaohong Deng
Zhenping Xie
K. Choi
Shitong Wang
16
1
0
30 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and
  Rethinking
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan
Zirui Liu
Peihao Wang
Wenqing Zheng
Kaixiong Zhou
Tianlong Chen
Xia Hu
Zhangyang Wang
GNN
22
57
0
14 Oct 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
37
26
0
06 Jun 2022
SStaGCN: Simplified stacking based graph convolutional networks
SStaGCN: Simplified stacking based graph convolutional networks
Jia Cai
Zhilong Xiong
Shaogao Lv
GNN
30
1
0
16 Nov 2021
NodeNet: A Graph Regularised Neural Network for Node Classification
NodeNet: A Graph Regularised Neural Network for Node Classification
Shrey Dabhi
Manojkumar Somabhai Parmar
GNN
14
11
0
16 Jun 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
27
31
0
15 Jun 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang
Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Liang Zhan
AAML
16
27
0
23 May 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
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