A Unified View on Graph Neural Networks as Graph Signal Denoising

5 October 2020

Xiaorui Liu

Papers citing "A Unified View on Graph Neural Networks as Graph Signal Denoising"

49 / 99 papers shown

Title
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 21 0 0 25 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu Chenxiao Yang Wen-Long Zhao Yixuan He David Wipf Junchi Yan DiffM 19 82 0 23 Jan 2023
Deep Statistical Solver for Distribution System State Estimation Benjamin Habib Elvin Isufi Ward van Breda A. Jongepier J. Cremer 11 17 0 04 Jan 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 28 70 0 25 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 26 62 0 16 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 25 12 0 11 Nov 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 10 0 0 27 Oct 2022
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection Zhixun Li Dingshuo Chen Qiang Liu Shu Wu AAML 29 15 0 22 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah L. Akoglu 21 17 0 18 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 14 14 0 17 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 19 41 0 11 Oct 2022
ASGNN: Graph Neural Networks with Adaptive Structure Zepeng Zhang Songtao Lu Zengfeng Huang Ziping Zhao AAML 46 1 0 03 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 33 36 0 30 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 17 3 0 29 Sep 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks Hongjoon Ahn You‐Jun Yang Quan Gan Taesup Moon David Wipf 33 24 0 22 Jun 2022
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features Jiuhai Chen Jonas W. Mueller V. Ioannidis Tom Goldstein David Wipf 14 2 0 16 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 20 4 0 09 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 26 8 0 08 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng-Long Jiang OOD 17 81 0 06 Jun 2022
Transformers from an Optimization Perspective Yongyi Yang Zengfeng Huang David Wipf 37 24 0 27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 13 4 0 27 May 2022
Ensemble Multi-Relational Graph Neural Networks Yuling Wang Haonan Xu Yanhua Yu Mengdi Zhang Zhenhao Li Yuji Yang Wei Yu Wu 20 7 0 24 May 2022
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? Juanhui Li Harry Shomer Jiayu Ding Yiqi Wang Yao Ma Neil Shah Jiliang Tang Dawei Yin 29 11 0 21 May 2022
LPGNet: Link Private Graph Networks for Node Classification Aashish Kolluri Teodora Baluta Bryan Hooi Prateek Saxena 19 24 0 06 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 27 108 0 04 Apr 2022
Graph Neural Networks for Multimodal Single-Cell Data Integration Haifang Wen Jiayuan Ding Wei Jin Yiqi Wang Yuying Xie Jiliang Tang 21 53 0 03 Mar 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 20 78 0 17 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 11 47 0 08 Feb 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 18 7 0 31 Jan 2022
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 14 23 0 14 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 75 24 0 08 Dec 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 27 14 0 12 Nov 2021
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features Jiuhai Chen Jonas W. Mueller V. Ioannidis Soji Adeshina Yangkun Wang Tom Goldstein David Wipf 17 11 0 26 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 14 145 0 14 Oct 2021
Single Node Injection Attack against Graph Neural Networks Shuchang Tao Qi Cao Huawei Shen Junjie Huang Yunfan Wu Xueqi Cheng AAML GNN 11 66 0 30 Aug 2021
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 66 101 0 12 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 87 107 0 05 Jul 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 22 225 0 11 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng-Long Jiang CML OOD 20 93 0 03 Jun 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Tyler Derr Charu C. Aggarwal Jiliang Tang 32 0 0 10 May 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng-Wei Zhang Zengfeng Huang David Wipf 22 81 0 10 Mar 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 52 197 0 28 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations J. Jia Austin R. Benson 21 28 0 19 Jan 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 27 34 0 12 Dec 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng-Long Jiang 27 19 0 20 Oct 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng-Long Jiang Neil Shah GNN 14 404 0 11 Jun 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,072 0 13 Feb 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016