v1v2 (latest)

Addressing the Impact of Localized Training Data in Graph Neural Networks

24 July 2023

Papers citing "Addressing the Impact of Localized Training Data in Graph Neural Networks"

20 / 20 papers shown

Title
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 217 1 0 20 May 2024
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 80 30 0 09 Dec 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 94 15 0 17 Oct 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 139 39 0 30 May 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Qing Cui Jun Zhou 152 55 0 27 Jan 2022
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 76 112 0 02 Aug 2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering Michihiro Yasunaga Hongyu Ren Antoine Bosselut Percy Liang J. Leskovec RALM LMTD AI4MH LRM 60 596 0 13 Apr 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 107 571 0 27 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 173 163 0 25 Feb 2021
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 79 573 0 27 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 106 608 0 18 Jul 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 105 394 0 22 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 309 2,746 0 02 May 2020
Heterogeneous Graph Neural Networks for Malicious Account Detection Ziqi Liu Chaochao Chen Xinxing Yang Jun Zhou Xiaolong Li Le Song 70 359 0 27 Feb 2020
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters Asiri Wijesinghe Qing Wang GNN 63 28 0 24 Oct 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 256 1,904 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,331 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 665 29,156 0 09 Sep 2016