Graph Information Bottleneck

24 October 2020

Papers citing "Graph Information Bottleneck"

44 / 44 papers shown

Title
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 56 0 0 07 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 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 106 0 0 13 Mar 2025
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 41 0 0 08 Mar 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 66 22 0 24 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 106 0 0 13 Feb 2025
A Metric for the Balance of Information in Graph Learning Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 46 0 0 31 Jan 2025
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 39 0 0 24 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 89 1 0 03 Jan 2025
Discrete Curvature Graph Information Bottleneck Xingcheng Fu Jian Wang Yisen Gao Qingyun Sun Haonan Yuan Jianxin Li Xianxian Li 34 0 0 31 Dec 2024
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 45 2 0 25 Oct 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks Zhe Zhao Pengkun Wang Xu Wang Haibin Wen Xiaolong Xie Zhengyang Zhou Qingfu Zhang Yang Wang AI4CE CLL 20 0 0 23 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 21 0 0 14 Apr 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks Jiahua Rao Jiancong Xie Hanjing Lin Shuangjia Zheng Zhen Wang Yuedong Yang 19 0 0 07 Feb 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks Zhuomin Chen Jiaxing Zhang Jingchao Ni Xiaoting Li Yuchen Bian Md. Mezbahul Islam A. Mondal Hua Wei Dongsheng Luo 16 1 0 03 Feb 2024
Elastic Information Bottleneck Yuyan Ni Yanyan Lan Ao Liu Zhiming Ma 22 2 0 07 Nov 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li Yulong Pei 25 0 0 15 Aug 2023
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling Yu Zhao Hao Fei Yixin Cao Bobo Li Meishan Zhang Jianguo Wei M. Zhang Tat-Seng Chua 17 13 0 09 Aug 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 22 12 0 20 Jun 2023
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling Shengqiong Wu Hao Fei Yixin Cao Lidong Bing Tat-Seng Chua 34 31 0 19 May 2023
Hybrid Augmented Automated Graph Contrastive Learning Yifu Chen Qianqian Ren Liu Yong 31 1 0 24 Mar 2023
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck Shujun Wang Angelica I Aviles-Rivero Zoe Kourtzi Carola-Bibiane Schönlieb 25 2 0 18 Mar 2023
Label Information Bottleneck for Label Enhancement Qinghai Zheng Jihua Zhu Haoyu Tang 18 6 0 13 Mar 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 19 56 0 31 Jan 2023
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen E. Hossain Zhifeng Zhao Honggang Zhang 29 19 0 16 Dec 2022
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle Ziwen Liu Bonan Li Congying Han Tiande Guo Xuecheng Nie SSL 32 2 0 15 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 30 20 0 12 Nov 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Y. Qian Yanfang Ye Chuxu Zhang SSL 20 6 0 16 Sep 2022
Earthquake Phase Association with Graph Neural Networks I. McBrearty G. Beroza 25 39 0 15 Sep 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Y. Li OOD 30 9 0 19 Aug 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 25 37 0 22 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 14 196 0 31 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 28 45 0 14 Jan 2022
Computationally Efficient Approximations for Matrix-based Renyi's Entropy Tieliang Gong Yuxin Dong Shujian Yu B. Dong 59 2 0 27 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 24 0 0 20 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 39 153 0 16 Dec 2021
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements Carolyn Ashurst Emmie Hine Paul Sedille A. Carlier 29 29 0 02 Nov 2021
InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu Wei Cheng Dongsheng Luo Haifeng Chen Xiang Zhang 33 192 0 28 Oct 2021
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs Hejie Cui Zijie Lu Pan Li Carl Yang 13 80 0 03 Jul 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 25 26 0 11 May 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018