Simplifying Graph Convolutional Networks

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Simplifying Graph Convolutional Networks

19 February 2019

Christopher Fifty

Kilian Q. Weinberger

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Papers citing "Simplifying Graph Convolutional Networks"

18 / 1,418 papers shown

Title
Quantifying the Alignment of Graph and Features in Deep Learning Yifan Qian P. Expert Tom Rieu P. Panzarasa Mauricio Barahona 67 19 0 30 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 100 29 0 27 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 123 27 0 24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 70 231 0 23 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 97 100 0 23 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 139 434 0 23 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 110 88 0 11 May 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 70 24 0 24 Apr 2019
Simple BERT Models for Relation Extraction and Semantic Role Labeling Peng Shi Jimmy J. Lin VLM 79 446 0 10 Apr 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 60 34 0 11 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 290 4,375 0 06 Mar 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 138 399 0 05 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 139 286 0 26 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.2K 5,588 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 198 1,342 0 11 Dec 2018
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks Shuxuan Guo J. Álvarez Mathieu Salzmann 117 80 0 26 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 176 33 0 08 Nov 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 67 33 0 26 Sep 2018