Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

22 April 2017

Papers citing "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"

34 / 84 papers shown

Title
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Anton van den Hengel Meng Wang GNN 33 492 0 28 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 42 277 0 29 Dec 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 15 145 0 13 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 17 15 0 12 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 69 945 0 06 Nov 2019
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 38 151 0 17 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Bernard Ghanem Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities Devanshu Arya S. Rudinac M. Worring 21 11 0 19 Sep 2019
Learning Interpretable Disease Self-Representations for Drug Repositioning Fabrizio Frasca Diego Galeano Guadalupe Gonzalez I. Laponogov Kirill Veselkov A. Paccanaro M. Bronstein 12 2 0 14 Sep 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Jiwoong Park Minsik Lee H. Chang Kyuewang Lee J. Choi SSL 37 232 0 07 Aug 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 29 225 0 27 May 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification Sheng Wan Chen Gong P. Zhong Bo Du Lefei Zhang Jian Yang 22 359 0 14 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 19 50 0 04 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 24 48 0 31 Mar 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 87 1,852 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 159 8,356 0 03 Jan 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 39 1,321 0 11 Dec 2018
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference Carlo Di Domenico Duc Minh Nguyen Evaggelia Tsiligianni Angel Lopez Aguirre M. Savino Frank Pasveer A. Bouras Nikos Deligiannis 6 24 0 05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 23 169 0 29 Oct 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 16 76 0 17 Sep 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 93 3,477 0 06 Jun 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 22 526 0 05 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 0 31 May 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 27 157 0 07 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 17 1,897 0 27 Feb 2018
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion Kaiyi Ji Jian Tan Jinfeng Xu Yuejie Chi 25 3 0 16 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 28 143 0 04 Feb 2018
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 30 461 0 20 Nov 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 35 657 0 22 May 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 33 364 0 20 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016