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
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 268 57 0 22 Dec 2023
Graph Neural Networks with Diverse Spectral FilteringThe Web Conference (WWW), 2023 Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 365 14 0 14 Dec 2023
A Generalized Neural Diffusion Framework on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 404 27 0 14 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lio 385 1 0 30 Nov 2023
Fairness-aware Optimal Graph Filter DesignIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2023 O. Deniz Kose Yanning Shen Gonzalo Mateos FaML 167 5 0 22 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based EnergyInternational Conference on Learning Representations (ICLR), 2023 Haitian Jiang Renjie Liu Xiao Yan Zhenkun Cai Minjie Wang David Wipf Minjie Wang David Wipf GNN AI4CE 265 3 0 19 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural NetworksThe Web Conference (WWW), 2023 Minjie Cheng Hongteng Xu 352 1 0 18 Oct 2023
Equivariant Matrix Function Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 374 9 0 16 Oct 2023
Shape-aware Graph Spectral Learning Junjie Xu Enyan Dai Dongsheng Luo Xiang Zhang Suhang Wang 258 4 0 16 Oct 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding EvolutionNeural Information Processing Systems (NeurIPS), 2023 Cong Xu Jun Wang Jianyong Wang Wei Zhang GNN 195 2 0 24 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning RevisitedIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Zheng Wang H. Ding Leyi Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 277 17 0 24 Sep 2023
Bregman Graph Neural NetworkIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 129 5 0 12 Sep 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message PropagationInternational Conference on Information and Knowledge Management (CIKM), 2023 Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 175 10 0 29 Aug 2023
The Expressive Power of Graph Neural Networks: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 436 43 0 16 Aug 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and RobustnessACM Multimedia (ACM MM), 2023 Shide Du Zihan Fang Shiyang Lan Yanchao Tan Manuel Günther Shiping Wang Wenzhong Guo 325 12 0 07 Aug 2023
Automated Polynomial Filter Learning for Graph Neural NetworksBigData Congress [Services Society] (BSS), 2023 Wendi Yu Zhichao Hou Xiaorui Liu 193 0 0 16 Jul 2023
From Hypergraph Energy Functions to Hypergraph Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Yuxin Wang Quan Gan Xipeng Qiu Xuanjing Huang David Wipf GNN 210 25 0 16 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone GraphsInternational Conference on Machine Learning (ICML), 2023 Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 187 46 0 13 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?Neural Information Processing Systems (NeurIPS), 2023 Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Shucheng Zhou 386 49 0 02 Jun 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative PolynomialsThe Web Conference (WWW), 2023 Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 366 13 0 31 May 2023
Towards Label Position Bias in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Shucheng Zhou 187 6 0 25 May 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 279 0 0 25 May 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 218 2 0 25 May 2023
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global AggregationIEEE International Conference on Data Engineering (ICDE), 2023 Haoyu Liu Ningyi Liao Siqiang Luo 125 10 0 17 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 193 6 0 12 May 2023
Feature Expansion for Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023 Jiaqi Sun Lin Zhang Guan-Hong Chen Kun Zhang Peng Xu Yujiu Yang GNN 175 16 0 10 May 2023
Multi-View Graph Representation Learning Beyond HomophilyACM Transactions on Knowledge Discovery from Data (TKDD), 2023 Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 264 11 0 15 Apr 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPsInternational Conference on Computational Linguistics (COLING), 2023 Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 300 11 0 24 Mar 2023
Graph Contrastive Learning under Heterophily via Graph FiltersConference on Uncertainty in Artificial Intelligence (UAI), 2023 Wenhan Yang Baharan Mirzasoleiman 214 8 0 11 Mar 2023
Specformer: Spectral Graph Neural Networks Meet TransformersInternational Conference on Learning Representations (ICLR), 2023 Deyu Bo Chuan Shi Lele Wang Renjie Liao 259 124 0 02 Mar 2023
Framelet Message PassingApplied and Computational Harmonic Analysis (ACHA), 2023 Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 221 5 0 28 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 242 38 0 11 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy PropagationInternational Conference on Machine Learning (ICML), 2023 Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 262 24 0 03 Feb 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization FrameworkAAAI Conference on Artificial Intelligence (AAAI), 2023 Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 168 21 0 11 Jan 2023
Node-oriented Spectral Filtering for Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 241 23 0 07 Dec 2022
Graph Filters for Signal Processing and Machine Learning on GraphsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 209 118 0 16 Nov 2022
Learning Optimal Graph Filters for Clustering of Attributed GraphsIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022 Meiby Ortiz-Bouza Selin Aviyente GNN 292 2 0 09 Nov 2022
Clenshaw Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2022 Y. Guo Zhewei Wei GNN 181 17 0 29 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 131 0 0 27 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 189 9 0 15 Oct 2022
ASGNN: Graph Neural Networks with Adaptive Structure Zepeng Zhang Songtao Lu Zengfeng Huang Ziping Zhao AAML 223 1 0 03 Oct 2022
Optimization-Induced Graph Implicit Nonlinear DiffusionInternational Conference on Machine Learning (ICML), 2022 Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 267 44 0 29 Jun 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural NetworkInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Di Jin Rui-xia Wang Meng Ge Dongxiao He Xiang Li Jialin Li Weixiong Zhang 144 53 0 28 Jun 2022
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Hongjoon Ahn You‐Jun Yang Quan Gan Taesup Moon David Wipf 333 28 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 122 2 0 16 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 171 4 0 09 Jun 2022
Alternately Optimized Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2022 Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Shucheng Zhou GNN 354 9 0 08 Jun 2022
Instant Graph Neural Networks for Dynamic GraphsKnowledge Discovery and Data Mining (KDD), 2022 Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 207 28 0 03 Jun 2022
Transformers from an Optimization PerspectiveNeural Information Processing Systems (NeurIPS), 2022 Yongyi Yang Zengfeng Huang David Wipf 173 33 0 27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge SplittingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 295 17 0 27 May 2022