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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
    GNN
    BDL
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Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,259 papers shown
Title
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
Lumin Yang
Jiajie Zhuang
Hongbo Fu
Xiangzhi Wei
Kun Zhou
Youyi Zheng
38
31
0
02 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
9
11
0
28 Feb 2020
Advances in Collaborative Filtering and Ranking
Advances in Collaborative Filtering and Ranking
Liwei Wu
4
7
0
27 Feb 2020
Dual Graph Representation Learning
Dual Graph Representation Learning
Huiling Zhu
Xin Luo
Hankui Zhuo
GNN
4
0
0
25 Feb 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Yuanyuan Jin
Wei Zhang
Xiangnan He
Xinyu Wang
Xiao-le Wang
6
51
0
20 Feb 2020
Residual Correlation in Graph Neural Network Regression
Residual Correlation in Graph Neural Network Regression
J. Jia
Austin R. Benson
17
25
0
19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph
  Convolutional Networks
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Tsubasa Takahashi
GNN
AAML
6
37
0
19 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
9
607
0
19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
19
29
0
17 Feb 2020
Vertex-reinforced Random Walk for Network Embedding
Vertex-reinforced Random Walk for Network Embedding
Wenyi Xiao
Huan Zhao
V. Zheng
Yangqiu Song
3DV
24
8
0
11 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi
Luca Cosmo
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
GNN
MedIm
14
128
0
11 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
6
230
0
08 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
13
3,503
0
06 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
21
6
0
05 Feb 2020
Graph Convolution Machine for Context-aware Recommender System
Graph Convolution Machine for Context-aware Recommender System
Jiancan Wu
Xiangnan He
Xiang Wang
Qifan Wang
Weijia Chen
Jianxun Lian
Xing Xie
GNN
9
70
0
30 Jan 2020
Which way? Direction-Aware Attributed Graph Embedding
Which way? Direction-Aware Attributed Graph Embedding
Zekarias T. Kefato
Nasrullah Sheikh
A. Montresor
3DV
6
3
0
30 Jan 2020
Graph Neighborhood Attentive Pooling
Graph Neighborhood Attentive Pooling
Zekarias T. Kefato
Sarunas Girdzijauskas
GNN
16
6
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
19
491
0
28 Jan 2020
Efficient and Stable Graph Scattering Transforms via Pruning
Efficient and Stable Graph Scattering Transforms via Pruning
V. Ioannidis
Siheng Chen
G. Giannakis
12
11
0
27 Jan 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced
  Graph Neural Network
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen
Zhihong Shen
Chenyan Xiong
Chi Wang
Kuansan Wang
Jiawei Han
20
74
0
26 Jan 2020
Linking Bank Clients using Graph Neural Networks Powered by Rich
  Transactional Data
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data
Valentina Shumovskaia
Kirill Fedyanin
I. Sukharev
Dmitry Berestnev
Maxim Panov
8
26
0
23 Jan 2020
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station
  Metro Ridership Prediction
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction
Lingbo Liu
Jingwen Chen
Hefeng Wu
Jiajie Zhen
Guanbin Li
Liang Lin
11
9
0
14 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
10
68
0
14 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid Architecture
Mingyu Yan
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Dongrui Fan
Yuan Xie
GNN
22
287
0
07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
Hanqing Zeng
Viktor Prasanna
GNN
14
125
0
31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
37
276
0
29 Dec 2019
Solving Cold Start Problem in Recommendation with Attribute Graph Neural
  Networks
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
T. Qian
Yile Liang
Qing Li
CML
9
10
0
28 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with
  Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Tengfei Ma
Jie Chen
14
24
0
24 Dec 2019
Expanding Label Sets for Graph Convolutional Networks
Expanding Label Sets for Graph Convolutional Networks
Mustafa Coşkun
Burcu Bakir-Gungor
Mehmet Koyutürk
GNN
17
2
0
18 Dec 2019
ragamAI: A Network Based Recommender System to Arrange a Indian
  Classical Music Concert
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
A. Bagavathi
S. Krishnan
Sanjay Subrahmanyan
Narasimhan S. L.
11
0
0
08 Dec 2019
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Xiao Wang
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
19
129
0
06 Dec 2019
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph
  Convolution Networks
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks
Yu-Chen Lai
Linfeng Zhang
Donghong Han
Rui Zhou
Guoren Wang
14
60
0
05 Dec 2019
On model selection for scalable time series forecasting in transport
  networks
On model selection for scalable time series forecasting in transport networks
Julien Monteil
Anton Dekusar
Claudio Gambella
Y. Lassoued
M. Mevissen
AI4TS
14
2
0
29 Nov 2019
SWAG: Item Recommendations using Convolutions on Weighted Graphs
SWAG: Item Recommendations using Convolutions on Weighted Graphs
Amit Pande
Kai Ni
Venkataramani Kini
GNN
17
9
0
22 Nov 2019
An End-to-End Framework for Cold Question Routing in Community Question
  Answering Services
An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Jiankai Sun
Jie Zhao
Huan Sun
S. Parthasarathy
11
30
0
22 Nov 2019
Graph Pruning for Model Compression
Graph Pruning for Model Compression
Mingyang Zhang
Xinyi Yu
Jingtao Rong
L. Ou
GNN
25
9
0
22 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin
Guojie Song
C. Shi
11
47
0
18 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph
  Convolutional Networks
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou
Ziniu Hu
Yewen Wang
Song Jiang
Yizhou Sun
Quanquan Gu
GNN
6
276
0
17 Nov 2019
Graph-Revised Convolutional Network
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
19
96
0
17 Nov 2019
Hierarchical Graph Pooling with Structure Learning
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
27
174
0
14 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings
A Capsule Network-based Model for Learning Node Embeddings
D. Q. Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
12
9
0
12 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks
GraphDefense: Towards Robust Graph Convolutional Networks
Xiaoyun Wang
Xuanqing Liu
Cho-Jui Hsieh
OOD
AAML
GNN
17
31
0
11 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving
  General Graph Neural Network
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network
Deli Chen
Xiaoqian Liu
Yankai Lin
Peng Li
Jie Zhou
Qi Su
Xu Sun
GNN
17
2
0
10 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction
Graph Convolutional Networks Meet with High Dimensionality Reduction
Mustafa Coşkun
GNN
BDL
6
3
0
07 Nov 2019
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
13
942
0
06 Nov 2019
Certifiable Robustness to Graph Perturbations
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski
Stephan Günnemann
AAML
20
123
0
31 Oct 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
15
629
0
28 Oct 2019
Extreme Classification in Log Memory using Count-Min Sketch: A Case
  Study of Amazon Search with 50M Products
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Tharun Medini
Qixuan Huang
Yiqiu Wang
Vijai Mohan
Anshumali Shrivastava
9
70
0
28 Oct 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
11
369
0
28 Oct 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
48
685
0
28 Oct 2019
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