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
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks Jiaqing Xie Rex Ying GNN 8 3 0 24 Jun 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data I-Chung Hsieh Cheng-Te Li AAML 15 23 0 22 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 23 207 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 11 2 0 21 Jun 2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification Long Chen Venkatesh Ravichandran A. Stolcke SSL 11 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 16 34 0 14 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Bernard Ghanem V. Koltun GNN AI4CE 34 235 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 26 97 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 14 131 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 11 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 11 6 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 9 225 0 11 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 12 130 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 13 1 0 10 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 31 98 0 09 Jun 2021
On Local Aggregation in Heterophilic Graphs Hesham Mostafa Marcel Nassar Somdeb Majumdar 8 4 0 06 Jun 2021
Graph Belief Propagation Networks J. Jia Cenk Baykal Vamsi K. Potluru Austin R. Benson GNN 6 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 15 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-Hong Wu Haifeng Wang 15 45 0 25 May 2021
Graph Sanitation with Application to Node Classification Zhe Xu Boxin Du Hanghang Tong 11 35 0 19 May 2021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks Thorben Funke Megha Khosla Mandeep Rathee Avishek Anand FAtt 19 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 13 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 14 4 0 14 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Tyler Derr Charu C. Aggarwal Jiliang Tang 32 0 0 10 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 60 67 0 03 May 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features Yunxiang Zhao Jianzhong Qi Qingwei Liu Rui Zhang GNN 13 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 23 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 61 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 16 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 22 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 8 17 0 09 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 20 98 0 03 Apr 2021
Topological Regularization for Graph Neural Networks Augmentation Rui Song Fausto Giunchiglia Kexin Zhao Hao Xu 6 11 0 03 Apr 2021
Modeling Graph Node Correlations with Neighbor Mixture Models Linfeng Liu Michael Hughes Liping Liu 15 0 0 29 Mar 2021
A nonlinear diffusion method for semi-supervised learning on hypergraphs Francesco Tudisco Konstantin Prokopchik Austin R. Benson 11 12 0 27 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 17 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 19 56 0 24 Mar 2021
Expanding Semantic Knowledge for Zero-shot Graph Embedding Z. Wang Rui Shao Changping Wang Changjun Hu Chaokun Wang Zhiguo Gong 21 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 14 119 0 21 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 11 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 15 81 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 15 122 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 22 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
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks Xinyang Zhang Chenwei Zhang Xin Luna Dong Jingbo Shang Jiawei Han 16 18 0 23 Feb 2021
MagNet: A Neural Network for Directed Graphs Xitong Zhang Yixuan He Nathan Brugnone Michael Perlmutter M. Hirn 10 124 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 30 77 0 22 Feb 2021
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification Puneet Mathur Trisha Mittal Dinesh Manocha 13 12 0 21 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 19 11 0 19 Feb 2021