Papers citing 'A Comprehensive Survey on Graph Neural Networks'

Title
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 191 259 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 289 222 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 301 86 0 18 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 377 1,487 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 209 9 0 06 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 146 55 0 04 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 295 59 0 31 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 300 207 0 27 Mar 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks Jacob Nilsson Fredrik Sandin J. Delsing AI4CE 81 19 0 26 Mar 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs Daniel T. Chang AI4CE BDL 127 7 0 21 Mar 2019
A Comparative Study for Unsupervised Network Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Megha Khosla Vinay Setty Avishek Anand SSL 202 58 0 19 Mar 2019
Multi-Hot Compact Network Embedding Chaozhuo Li Senzhang Wang Philip S. Yu Zhoujun Li 127 8 0 07 Mar 2019
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers Saeed Amizadeh Sergiy Matusevych Markus Weimer AI4CE 139 22 0 05 Mar 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 223 38 0 23 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 604 3,581 0 19 Feb 2019
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts Neema Davis G. Raina Krishna Jagannathan AI4TS 91 30 0 18 Feb 2019
Probabilistic Generative Deep Learning for Molecular Design Daniel T. Chang BDL AI4CE 118 7 0 11 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 145 0 0 06 Feb 2019
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis Katsuhiko Ishiguro S. Maeda Masanori Koyama GNN 163 33 0 04 Feb 2019
Gaussian Conditional Random Fields for ClassificationExpert systems with applications (ESWA), 2019 Andrija Petrović Mladen Nikolic M. Jovanović Boris Delibasic BDL 96 11 0 31 Jan 2019
On the Transferability of Spectral Graph FiltersInternational Conference on Sampling Theory and Applications (SampTA), 2019 Ron Levie Elvin Isufi Gitta Kutyniok 142 68 0 29 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 281 329 0 04 Jan 2019
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning Zhang Zhang Yi Zhao Jing Liu Shuo Wang Ruyi Tao Ruyue Xin Jiang Zhang AI4CE 172 60 0 30 Dec 2018
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 312 341 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 1.5K 6,271 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 400 1,468 0 11 Dec 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 183 6 0 30 Sep 2018
Deep Learning for Generic Object Detection: A Survey Tianpeng Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 570 2,618 0 06 Sep 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 167 215 0 24 Jun 2018