MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

30 April 2019

Papers citing "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing"

31 / 181 papers shown

Title
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 33 480 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 57 1,451 0 04 Jul 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 29 134 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 24 377 0 16 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 34 715 0 14 Jun 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang AI4TS 44 1,349 0 24 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 286 0 07 May 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning Zekarias T. Kefato Sarunas Girdzijauskas 21 7 0 30 Mar 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 60 0 26 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 65 47 0 22 Mar 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks Yimeng Min Frederik Wenkel Guy Wolf GNN 31 109 0 18 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 31 11 0 05 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 24 49 0 24 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs D. Eswaran Srijan Kumar Christos Faloutsos 41 19 0 18 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 17 15 0 12 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 56 687 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 838 0 28 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 19 19 0 25 Sep 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 24 104 0 13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 81 954 0 10 Jul 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 19 27 0 24 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 33 420 0 23 May 2019
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 36 258 0 24 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 42 740 0 20 Feb 2018