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
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 108 0 05 Jul 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 21 49 0 30 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 24 80 0 29 Jun 2021
LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction Shanzhuo Zhang Lihang Liu Sheng Gao Donglong He Xiaomin Fang Weibin Li Zhengjie Huang Weiyue Su Wenjin Wang 36 9 0 28 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks Jiaqing Xie Rex Ying GNN 20 3 0 24 Jun 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 25 23 0 22 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 215 0 21 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 36 2 0 21 Jun 2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification Long Chen Venkatesh Ravichandran A. Stolcke SSL 27 16 0 15 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 32 35 0 14 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 45 100 0 12 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 37 131 0 11 Jun 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 24 34 0 11 Jun 2021
HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions Liwei Deng Xuanhao Chen Yan Zhao Kai Zheng 23 6 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 30 228 0 11 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 23 133 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 38 1 0 10 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 39 99 0 09 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 18 4 0 06 Jun 2021
Graph Belief Propagation Networks Junteng Jia Cenk Baykal Vamsi K. Potluru Austin R. Benson GNN 19 3 0 06 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN 31 2 0 28 May 2021
BASS: Boosting Abstractive Summarization with Unified Semantic Graph Wenhao Wu Wei Li Xinyan Xiao Jiachen Liu Ziqiang Cao Sujian Li Hua Wu Haifeng Wang 36 45 0 25 May 2021
Graph Sanitation with Application to Node Classification Zhe Xu Boxin Du Hanghang Tong 32 35 0 19 May 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 23 38 0 18 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations Xiaolong Fan Maoguo Gong Yue Wu Hao Li SSL 33 4 0 14 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Tyler Derr Charu C. Aggarwal Jiliang Tang 40 1 0 10 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 77 67 0 03 May 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features Yunxiang Zhao Jianzhong Qi Qingwei Liu Rui Zhang GNN 32 33 0 29 Apr 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 39 21 0 28 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 79 8 0 21 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 27 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 36 0 0 19 Apr 2021
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search Chunnan Wang Bozhou Chen Geng Li Hongzhi Wang FedML GNN 13 17 0 09 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021
Topological Regularization for Graph Neural Networks Augmentation Rui Song Fausto Giunchiglia Kexin Zhao Hao Xu 16 11 0 03 Apr 2021
Modeling Graph Node Correlations with Neighbor Mixture Models Linfeng Liu Michael Hughes Liping Liu 31 0 0 29 Mar 2021
A nonlinear diffusion method for semi-supervised learning on hypergraphs Francesco Tudisco Konstantin Prokopchik Austin R. Benson 27 12 0 27 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 30 34 0 26 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng-Wei Zhang David Wipf 36 55 0 24 Mar 2021
Expanding Semantic Knowledge for Zero-shot Graph Embedding Zhilin Wang Rui Shao Changping Wang Changjun Hu Chaokun Wang Zhiguo Gong 28 3 0 23 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 30 119 0 21 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 40 10 0 12 Mar 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 39 83 0 10 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 25 123 0 04 Mar 2021
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective Wei Huang Yayong Li Weitao Du Jie Yin R. Xu Ling-Hao Chen Miao Zhang 26 17 0 03 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021