Interpreting and Unifying Graph Neural Networks with An Optimization Framework

The Web Conference (WWW), 2021

28 January 2021

Peng Cui

Papers citing "Interpreting and Unifying Graph Neural Networks with An Optimization Framework"

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Title
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization Haoran Zheng Renchi Yang Yubo Zhou Jianliang Xu 32 0 0 25 Nov 2025
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering Songbo Wang Renchi Yang Yurui Lai Xiaoyang Lin Tsz Nam Chan SSL 237 0 0 25 Nov 2025
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering Haoran Zheng Renchi Yang Hongtao Wang Jianliang Xu 52 0 0 25 Nov 2025
VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs Rui Xue GNN 145 0 0 16 Nov 2025
PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification Huayi Tang Yong Liu GNN AI4CE 124 0 0 08 Sep 2025
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs Hewen Wang Renchi Yang X. Xiao 77 2 0 27 Aug 2025
Contrastive Multi-View Graph Hashing Yang Xu Zuliang Yang Kai Ming Ting 132 0 0 17 Aug 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Juwei Yue Haikuo Li Jiawei Sheng Xiaodong Li Taoyu Su Tingwen Liu Li Guo 181 1 0 29 May 2025
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu 231 0 0 20 Mar 2025
Spectro-Riemannian Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025 Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 471 1 0 01 Feb 2025
Gradual Domain Adaptation for Graph Learning Pui Ieng Lei Ximing Chen Yijun Sheng Yanyan Liu J. Guo Zhiguo Gong OOD 375 0 0 29 Jan 2025
Graph Condensation: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 393 26 0 28 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical ReportKnowledge Discovery and Data Mining (KDD), 2025 Haipeng Ding Zhewei Wei Yuhang Ye 230 2 0 08 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative SamplingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Yuxin Wang Xiannian Hu Quan Gan Qi Zhang Jiaqi Leng David Wipf 296 12 0 31 Dec 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 259 1 0 21 Nov 2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Yachao Yang Yanfeng Sun Jipeng Guo Junbin Gao Shaofan Wang Fujiao Ju Baocai Yin 279 0 0 18 Nov 2024
Partitioning Message Passing for Graph Fraud DetectionInternational Conference on Learning Representations (ICLR), 2024 Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 334 33 0 16 Nov 2024
Learning Graph Filters for Structure-Function Coupling based Hub Node IdentificationIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024 Meiby Ortiz-Bouza Duc Vu Abdullah Karaaslanli Selin Aviyente 98 0 0 22 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 161 0 0 02 Oct 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 156 1 0 07 Sep 2024
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and AggregationInformation Fusion (Inf. Fusion), 2024 Junyu Chen Long Shi Badong Chen 244 5 0 14 Aug 2024
A Novel Spatiotemporal Coupling Graph Convolutional Network Fanghui Bi 114 0 0 09 Aug 2024
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning Ling Wang Yixiang Huang Hao Wu 135 1 0 05 Aug 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 276 2 0 31 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Ruijie Du Yanning Shen DD 221 7 0 10 Jul 2024
Graph Neural Networks Gone Hogwild Olga Solodova Nick Richardson Deniz Oktay Ryan P. Adams AI4CE GNN 333 1 0 29 Jun 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite GraphsKnowledge Discovery and Data Mining (KDD), 2024 Hewen Wang Renchi Yang Xiaokui Xiao 206 4 0 19 Jun 2024
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 334 2 0 14 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024 Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 357 7 0 08 Jun 2024
Road Network Representation Learning with the Third Law of Geography Haicang Zhou Weiming Huang Yile Chen Tiantian He Gao Cong Yew-Soon Ong 138 8 0 06 Jun 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuanchen Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 304 3 0 28 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 191 9 0 22 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lio 213 50 0 21 May 2024
Effective Clustering on Large Attributed Bipartite Graphs Renchi Yang Yidu Wu Xiaoyang Lin Qichen Wang Tsz Nam Chan Jieming Shi 222 4 0 20 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 152 6 0 07 May 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Zhenzhong Wang Qingyuan Zeng Wanyu Lin Min Jiang Kay Chen Tan SSL 121 3 0 19 Apr 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Haodong Wen Bodong Du Ruixun Liu Deyu Meng Xiangyong Cao 194 0 0 16 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 179 3 0 06 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 210 9 0 27 Mar 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang Jiaming Yang Wei Hu Michal Dereziñski 160 0 0 26 Mar 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks Ningyi Liao Zihao Yu Ruixiao Zeng Siqiang Luo GNN 168 0 0 20 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace ApproachThe Web Conference (WWW), 2024 Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lio 277 8 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure ReconstructionKnowledge Discovery and Data Mining (KDD), 2024 Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 230 15 0 12 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Amber Yijia Zheng Tong He Yixuan Qiu Minjie Wang David Wipf 196 2 0 07 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 265 9 0 06 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia Xiao Wang Nian Liu Chuan Shi 214 18 0 06 Mar 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormerResearch Square (RS), 2023 Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 127 8 0 11 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 197 8 0 28 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue CorrectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 279 6 0 28 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 206 4 0 17 Jan 2024