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Graph Information Bottleneck

Graph Information Bottleneck

24 October 2020
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
    AAML
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Papers citing "Graph Information Bottleneck"

13 / 13 papers shown
Title
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
62
0
0
29 Apr 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou
He Zhu
Ruomei Liu
Yingke Su
Jinxiang Xia
Junran Wu
Ke Xu
OODD
103
0
0
13 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Xuexin Chen
Ruichu Cai
Zhengting Huang
Zijian Li
Jie Zheng
Min Wu
31
0
0
08 Mar 2025
Unleashing the Power of Large Language Model for Denoising Recommendation
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang
Zhi Zheng
Yongduo Sui
Hui Xiong
96
0
0
13 Feb 2025
A Metric for the Balance of Information in Graph Learning
A Metric for the Balance of Information in Graph Learning
Alex O. Davies
Nirav Ajmeri
Telmo de Menezes e Silva Filho
43
0
0
31 Jan 2025
Pre-train and Fine-tune: Recommenders as Large Models
Pre-train and Fine-tune: Recommenders as Large Models
Zhenhao Jiang
C. L. P. Chen
Hao Feng
Yu Yang
Jin Liu
Jie Zhang
Jia Jia
Ning Hu
31
0
0
24 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning
MADE: Graph Backdoor Defense with Masked Unlearning
Xiao Lin amd Mingjie Li
Mingjie Li
Yisen Wang
AAML
75
1
0
03 Jan 2025
Discrete Curvature Graph Information Bottleneck
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu
Jian Wang
Yisen Gao
Qingyun Sun
Haonan Yuan
Jianxin Li
Xianxian Li
24
0
0
31 Dec 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng R. Li
Jundong Li
Kaize Ding
OOD
43
2
0
25 Oct 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node
  Feature Noise
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise
Tai Hasegawa
Sukwon Yun
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
16
0
0
14 Apr 2024
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
4
12
0
20 Jun 2023
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 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
217
1,726
0
09 Jun 2018
1