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A Comprehensive Survey on Graph Neural Networks

3 January 2019

Philip S. Yu

Papers citing "A Comprehensive Survey on Graph Neural Networks"

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Title
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation Shuo-feng Zhang Lei Xie GNN 98 55 0 04 Jul 2019
Structure fusion based on graph convolutional networks for semi-supervised classification Guangfeng Lin Jing Wang Kaiyang Liao Fan Zhao Wanjun Chen 35 6 0 02 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling F. Bianchi Daniele Grattarola Cesare Alippi GNN 141 40 0 30 Jun 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs Chaoyang He Tian Xie Yu Rong Wenbing Huang Junzhou Huang Xiang Ren Cyrus Shahabi 38 5 0 27 Jun 2019
Fast Training of Sparse Graph Neural Networks on Dense Hardware Matej Balog B. V. Merrienboer Subhodeep Moitra Yujia Li Daniel Tarlow GNN 58 10 0 27 Jun 2019
Signed Graph Attention Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng GNN 95 122 0 26 Jun 2019
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics Mario Krenn A. Zeilinger GNN 78 77 0 17 Jun 2019
Neural Theorem Provers Do Not Learn Rules Without Exploration Michiel de Jong Fei Sha NAI 34 8 0 17 Jun 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Chengqi Zhang GNN 71 524 0 15 Jun 2019
Hierarchical Graph-to-Graph Translation for Molecules Wengong Jin Regina Barzilay Tommi Jaakkola 63 16 0 11 Jun 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 119 574 0 11 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 95 157 0 05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 142 10 0 05 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 132 2,210 0 31 May 2019
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
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 125 283 0 29 May 2019
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting Kyungeun Lee Wonjong Rhee AI4TS GNN 93 113 0 29 May 2019
EEG-based Emotional Video Classification via Learning Connectivity Structure Soobeom Jang Seong-Eun Moon Jong-Seok Lee 37 16 0 28 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 190 34 0 28 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 131 102 0 27 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 100 29 0 27 May 2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks Dominik Alfke Martin Stoll GNN 48 3 0 24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering Ming Jin Heng Chang Wenwu Zhu Somayeh Sojoudi AAML GNN 125 27 0 24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving Aditya Sanjay Paliwal Sarah M. Loos M. Rabe Kshitij Bansal Christian Szegedy AI4CE NoLa 206 98 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 72 233 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 102 100 0 23 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 177 3 0 15 May 2019
ActiveHNE: Active Heterogeneous Network Embedding Xia Chen Guoxian Yu Jun Wang C. Domeniconi Zheng Li Xiangliang Zhang 65 86 0 14 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 106 72 0 10 May 2019
Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang Justin Solomon 3DPC 74 854 0 08 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 201 338 0 30 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 145 125 0 27 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 109 238 0 26 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 128 203 0 24 Apr 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 153 76 0 18 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 174 1,357 0 07 Apr 2019
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models Lukasz Struski M. Sadowski Tomasz Danel Jacek Tabor Igor T. Podolak DiffM 94 7 0 06 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 79 51 0 04 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 74 50 0 31 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 90 193 0 27 Mar 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks Jacob Nilsson Fredrik Sandin J. Delsing AI4CE 63 18 0 26 Mar 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs Daniel T. Chang AI4CE BDL 67 7 0 21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 87 54 0 19 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 32 8 0 07 Mar 2019
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers Saeed Amizadeh Sergiy Matusevych Markus Weimer AI4CE 64 20 0 05 Mar 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 151 37 0 23 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 315 3,206 0 19 Feb 2019
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts Neema Davis G. Raina Krishna Jagannathan AI4TS 50 27 0 18 Feb 2019
Probabilistic Generative Deep Learning for Molecular Design Daniel T. Chang BDL AI4CE 78 7 0 11 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 53 0 0 06 Feb 2019