Finding Diverse and Predictable Subgraphs for Graph Domain Generalization

19 June 2022

Jian Liang

Papers citing "Finding Diverse and Predictable Subgraphs for Graph Domain Generalization"

50 / 56 papers shown

Title
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 114 0 0 29 Oct 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 Li Jundong Li Kaize Ding OOD 96 3 0 25 Oct 2024
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 79 258 0 11 Apr 2022
Equivariant Graph Mechanics Networks with Constraints Wen-bing Huang J. Han Yu Rong Tingyang Xu Gang Hua Junzhou Huang AI4CE 56 79 0 12 Mar 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 71 99 0 16 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 140 226 0 30 Jan 2022
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 39 54 0 18 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Hongzhi Zhang Xingcheng Fu Cheng Ji Philip S. Yu 59 160 0 16 Dec 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 51 110 0 02 Aug 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 55 20 0 07 Jun 2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 35 44 0 20 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 82 110 0 08 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 161 1,198 0 02 Mar 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 83 75 0 13 Feb 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 117 1,202 0 04 Nov 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 130 231 0 24 Oct 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 36 154 0 12 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 201 1,332 0 08 Oct 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 72 118 0 11 Sep 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 63 165 0 15 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 76 1,466 0 04 Jul 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 66 415 0 21 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 51 698 0 20 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 175 2,687 0 02 May 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 110 438 0 30 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 284 921 0 02 Mar 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian Xi Xiao Tingyang Xu P. Zhao Wenbing Huang Yu Rong Junzhou Huang GNN 37 593 0 17 Jan 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 69 536 0 06 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 56 1,217 0 20 Nov 2019
Domain Generalization Using a Mixture of Multiple Latent Domains Toshihiko Matsuura Tatsuya Harada OOD 55 324 0 18 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 45 98 0 17 Nov 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 224 849 0 28 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 69 1,323 0 25 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 146 2,190 0 05 Jul 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 69 1,073 0 11 May 2019
Understanding Attention and Generalization in Graph Neural Networks Boris Knyazev Graham W. Taylor Mohamed R. Amer GNN 78 338 0 08 May 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 32 149 0 10 Apr 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 50 411 0 28 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 109 1,300 0 10 Mar 2019
Learning Robust Representations by Projecting Superficial Statistics Out Haohan Wang Zexue He Zachary Chase Lipton Eric Xing OOD 53 234 0 02 Mar 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 86 1,051 0 26 Feb 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 166 1,873 0 19 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 155 3,149 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 190 1,674 0 14 Oct 2018
Robust Optimization over Multiple Domains Qi Qian Shenghuo Zhu Jiasheng Tang Rong Jin Baigui Sun Hao Li OOD 43 71 0 19 May 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 88 639 0 13 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 286 1,358 0 12 Feb 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 139 1,264 0 12 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 304 19,902 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 377 15,066 0 07 Jun 2017