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Recognizing Predictive Substructures with Subgraph Information
  Bottleneck

Recognizing Predictive Substructures with Subgraph Information Bottleneck

20 March 2021
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
ArXiv (abs)PDFHTML

Papers citing "Recognizing Predictive Substructures with Subgraph Information Bottleneck"

17 / 17 papers shown
Title
Adaptive Hierarchical Graph Cut for Multi-granularity
  Out-of-distribution Detection
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
OODD
129
0
0
20 Dec 2024
Dynamic Graph Information Bottleneck
Dynamic Graph Information Bottleneck
Haonan Yuan
Qingyun Sun
Xingcheng Fu
Cheng Ji
Jianxin Li
AAMLAI4CE
100
11
0
09 Feb 2024
Does Invariant Graph Learning via Environment Augmentation Learn
  Invariance?
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
OOD
109
41
0
29 Oct 2023
Thought Propagation: An Analogical Approach to Complex Reasoning with
  Large Language Models
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models
Junchi Yu
Ran He
Rex Ying
LRM
134
31
0
06 Oct 2023
Rumor Detection with Diverse Counterfactual Evidence
Rumor Detection with Diverse Counterfactual Evidence
Kaiwei Zhang
Junchi Yu
Haichao Shi
Jian Liang
Xiao-Yu Zhang
41
26
0
18 Jul 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision,
  Language, and Graphs
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
Zhiyong Yang
Tinglin Huang
Ming Ding
Yuxiao Dong
Rex Ying
Yukuo Cen
Yangli-ao Geng
Jie Tang
SSLVLM
91
9
0
06 Jun 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets
  Spiking Neural Networks
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li
Huizhe Zhang
Ruofan Wu
Zulun Zhu
Baokun Wang
Changhua Meng
Zibin Zheng
Liang Chen
SSL
70
9
0
30 May 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Junchi Yu
Jian Liang
Ran He
102
33
0
27 Mar 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for
  Interpretable Brain Network-Based Psychiatric Diagnosis
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
Kaizhong Zheng
Shujian Yu
Badong Chen
CML
125
33
0
04 Jan 2023
Finding Diverse and Predictable Subgraphs for Graph Domain
  Generalization
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
Junchi Yu
Jian Liang
Ran He
OOD
78
11
0
19 Jun 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Yanfeng Guo
P. Zhao
OOD
113
28
0
20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
L. Yao
Xiao Chang
82
1
0
20 May 2022
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with
  Graph Information Bottleneck
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck
Kaizhong Zheng
Shujian Yu
Baojuan Li
Robert Jenssen
Badong Chen
AI4MH
89
11
0
07 May 2022
Few-shot Backdoor Defense Using Shapley Estimation
Few-shot Backdoor Defense Using Shapley Estimation
Jiyang Guan
Zhuozhuo Tu
Ran He
Dacheng Tao
AAML
103
54
0
30 Dec 2021
Improving Subgraph Recognition with Variational Graph Information
  Bottleneck
Improving Subgraph Recognition with Variational Graph Information Bottleneck
Junchi Yu
Jie Cao
Ran He
94
56
0
18 Dec 2021
Towards the Explanation of Graph Neural Networks in Digital Pathology
  with Information Flows
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows
Junchi Yu
Tingyang Xu
Ran He
86
6
0
18 Dec 2021
Graph Structure Learning with Variational Information Bottleneck
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun
Jianxin Li
Hao Peng
Hongzhi Zhang
Xingcheng Fu
Cheng Ji
Philip S. Yu
87
162
0
16 Dec 2021
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