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Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

1 January 2022
Enyan Dai
Wei-dong Jin
Hui Liu
Suhang Wang
    NoLa
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Papers citing "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels"

10 / 10 papers shown
Title
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
68
0
0
15 Mar 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Dong Hyun Jeon
Wenbo Sun
Haoze Song
Dongfang Liu
Velasquez Alvaro
Yixin Xie
Shuteng Niu
45
0
0
07 Jan 2025
GraphEdit: Large Language Models for Graph Structure Learning
GraphEdit: Large Language Models for Graph Structure Learning
Zirui Guo
Lianghao Xia
Yanhua Yu
Yuling Wang
Zixuan Yang
Zhiyong Huang
Chao Huang
55
18
0
23 Feb 2024
Cooperative Graph Neural Networks
Cooperative Graph Neural Networks
Ben Finkelshtein
Xingyue Huang
Michael M. Bronstein
.Ismail .Ilkan Ceylan
GNN
40
20
0
02 Oct 2023
Robust Training of Graph Neural Networks via Noise Governance
Robust Training of Graph Neural Networks via Noise Governance
Siyi Qian
Haochao Ying
Renjun Hu
Jingbo Zhou
Jintai Chen
Danny Chen
Jian Wu
NoLa
33
34
0
12 Nov 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks
Towards Faithful and Consistent Explanations for Graph Neural Networks
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
FAtt
57
18
0
27 May 2022
Exploring Edge Disentanglement for Node Classification
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
Xiang Zhang
Suhang Wang
35
35
0
23 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
30
79
0
17 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise,
  Distribution Shift, and Adversarial Attack
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
32
6
0
15 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph
  Neural Networks
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Chenhui Deng
Xiuyu Li
Zhuobo Feng
Zhiru Zhang
AAML
53
22
0
30 Jan 2022
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