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Graph Convolutional Matrix Completion

Graph Convolutional Matrix Completion

7 June 2017
Rianne van den Berg
Thomas Kipf
Max Welling
    GNN
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Papers citing "Graph Convolutional Matrix Completion"

38 / 138 papers shown
Title
Graph Convolutional Network for Recommendation with Low-pass
  Collaborative Filters
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu
Zheng Qin
GNN
24
92
0
28 Jun 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
11
101
0
25 May 2020
Seamlessly Unifying Attributes and Items: Conversational Recommendation
  for Cold-Start Users
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Shijun Li
Wenqiang Lei
Qingyun Wu
Xiangnan He
Peng Jiang
Tat-Seng Chua
18
118
0
23 May 2020
How hard is to distinguish graphs with graph neural networks?
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
25
6
0
13 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
285
0
07 May 2020
Bundle Recommendation with Graph Convolutional Networks
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang
Chen Gao
Xiangnan He
Yong Li
Depeng Jin
GNN
14
103
0
07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
30
2,652
0
02 May 2020
Learning to Cluster Faces via Confidence and Connectivity Estimation
Learning to Cluster Faces via Confidence and Connectivity Estimation
Lei Yang
Dapeng Chen
Xiaohang Zhan
Rui Zhao
Chen Change Loy
Dahua Lin
3DH
GNN
CVBM
18
88
0
01 Apr 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural
  Network for Human Trajectory Prediction
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah A. Mohamed
Kun Qian
Mohamed Elhoseiny
Christian G. Claudel
GNN
22
694
0
27 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Guillaume Salha-Galvan
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
GNN
BDL
29
6
0
05 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
23
842
0
05 Feb 2020
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static
  Side Information
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information
A. Budhiraja
G. Hiranandani
Darshak Chhatbar
Aditya Sinha
Navya Yarrabelly
Ayush Choure
Oluwasanmi Koyejo
Prateek Jain
33
4
0
28 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
33
493
0
28 Jan 2020
BasConv: Aggregating Heterogeneous Interactions for Basket
  Recommendation with Graph Convolutional Neural Network
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
Zhiwei Liu
Mengting Wan
Stephen D. Guo
Kannan Achan
Philip S. Yu
26
68
0
14 Jan 2020
Graph-Revised Convolutional Network
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
27
96
0
17 Nov 2019
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies
  Reconstruction
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Ziqi Ke
H. Vikalo
6
13
0
13 Nov 2019
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
72
945
0
06 Nov 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
22
80
0
25 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
32
5
0
15 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
17
27
0
01 Oct 2019
Coherent Comment Generation for Chinese Articles with a
  Graph-to-Sequence Model
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li
Jingjing Xu
Yancheng He
Shengli Yan
Yunfang Wu
Xu Sun
19
47
0
04 Jun 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for
  Recommender Systems
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
KGAT: Knowledge Graph Attention Network for Recommendation
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat-Seng Chua
OffRL
32
1,790
0
20 May 2019
MedGCN: Medication recommendation and lab test imputation via graph
  convolutional networks
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
Chengsheng Mao
Liang Yao
Yuan Luo
GNN
27
48
0
31 Mar 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedIm
GNN
39
56
0
31 Mar 2019
A Degeneracy Framework for Scalable Graph Autoencoders
A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Viet-Anh Tran
Michalis Vazirgiannis
GNN
29
36
0
23 Feb 2019
Graph Neural Networks for Social Recommendation
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
Geometric Matrix Completion with Deep Conditional Random Fields
Geometric Matrix Completion with Deep Conditional Random Fields
Duc Minh Nguyen
A. Calderbank
Nikos Deligiannis
20
7
0
29 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
161
8,362
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
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
28
5,400
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
51
1,321
0
11 Dec 2018
Matrix Completion With Variational Graph Autoencoders: Application in
  Hyperlocal Air Quality Inference
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
8
24
0
05 Nov 2018
Named Entity Disambiguation using Deep Learning on Graphs
Named Entity Disambiguation using Deep Learning on Graphs
A. Cetoli
Mohammad Akbari
Stefano Bragaglia
Andrew D. O'Harney
Marc Sloan
17
19
0
22 Oct 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
108
3,481
0
06 Jun 2018
Change Detection in Graph Streams by Learning Graph Embeddings on
  Constant-Curvature Manifolds
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
Daniele Grattarola
Daniele Zambon
Cesare Alippi
L. Livi
GNN
35
40
0
16 May 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
30
157
0
07 Mar 2018
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
37
1,966
0
17 Sep 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
254
1,811
0
25 Nov 2016
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