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Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018

Johannes Klicpera

Aleksandar Bojchevski

Stephan Günnemann

GNN

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Papers citing "Predict then Propagate: Graph Neural Networks meet Personalized PageRank"

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Title
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 72 31 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 203 3 0 04 Jun 2023
Can Directed Graph Neural Networks be Adversarially Robust? Zhichao Hou Xitong Zhang Wei Wang Charu C. Aggarwal Xiaorui Liu AAML 80 1 0 03 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 118 36 0 02 Jun 2023
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs Sara Venturini Andrea Cristofari Francesco Rinaldi Francesco Tudisco 67 5 0 31 May 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 81 10 0 31 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 83 13 0 30 May 2023
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator Guangzhi Sun Chuxu Zhang P. Woodland 60 6 0 30 May 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 81 46 0 29 May 2023
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer Kaize Ding Albert Jiongqian Liang Bryan Perrozi Ting-Li Chen Ruoxi Wang Lichan Hong Ed H. Chi Huan Liu D. Cheng 75 14 0 27 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 119 31 0 26 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Hawook Jeong DiffM 75 17 0 26 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 123 46 0 25 May 2023
Towards Label Position Bias in Graph Neural Networks Haoyu Han Xiaorui Liu Feng Shi MohamadAli Torkamani Charu C. Aggarwal Jiliang Tang 99 4 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 100 1 0 25 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 114 3 0 23 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 85 5 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 124 37 0 22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 99 4 0 22 May 2023
Decoupled Graph Neural Networks for Large Dynamic Graphs Yanping Zheng Zhewei Wei Jiajun Liu GNN BDL AI4TS AI4CE 63 14 0 14 May 2023
Addressing Heterophily in Node Classification with Graph Echo State Networks Alessio Micheli Domenico Tortorella 114 8 0 14 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 104 32 0 14 May 2023
Feature Expansion for Graph Neural Networks Jiaqi Sun Lin Zhang Guan-Hong Chen Kun Zhang Peng Xu Yujiu Yang GNN 56 13 0 10 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 127 5 0 10 May 2023
Message Passing Neural Networks for Traffic Forecasting Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim GNN 63 6 0 09 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen Yihong Luo Jing Tang Liang Yang Si-Huang Qiu Chuan Wang Xiaochun Cao 89 22 0 07 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 122 17 0 04 May 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 83 13 0 20 Apr 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 74 23 0 14 Apr 2023
RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection S. Shi Kai Qiao J. Yang Baojie Song Jian Chen Binghai Yan 79 8 0 14 Apr 2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen Zhihao Wu Luying Zhong Claudia Plant Shiping Wang Wenzhong Guo 78 9 0 13 Apr 2023
Graph Enabled Cross-Domain Knowledge Transfer S. Yao 41 0 0 07 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 80 29 0 06 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 137 19 0 03 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 74 2 0 31 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 104 33 0 27 Mar 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 122 9 0 24 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 84 5 0 24 Mar 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning Chao Chen Haoyu Geng Nianzu Yang Xiaokang Yang Junchi Yan 114 8 0 22 Mar 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Hongzhi Zhang Chun-Yi Liu Philip S. Yu 89 52 0 17 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 61 1 0 15 Mar 2023
Graph Neural Network Surrogates of Fair Graph Filtering Emmanouil Krasanakis Symeon Papadopoulos 68 1 0 14 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 81 4 0 14 Mar 2023
A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang Qi Zhang Tianqi Du Jiansheng Yang Zhouchen Lin Yisen Wang SSL 67 20 0 08 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 101 20 0 06 Mar 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks Wenqian Li Yinchuan Li Zhigang Li Jianye Hao Yan Pang 154 30 0 04 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 74 0 0 02 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 87 3 0 01 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 77 5 0 28 Feb 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 122 8 0 27 Feb 2023