Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1806.01973
Cited By
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Graph Convolutional Neural Networks for Web-Scale Recommender Systems"
50 / 1,259 papers shown
Title
HICF: Hyperbolic Informative Collaborative Filtering
Menglin Yang
Zhihao Li
Min Zhou
Jiahong Liu
Irwin King
19
55
0
19 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Bo Du
Wenbin Hu
Danilo P. Mandic
39
28
0
18 Jul 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network
Weijia Chen
Yixin Cao
Fuli Feng
Xiangnan He
Yongdong Zhang
11
2
0
14 Jul 2022
Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model
Hui Shi
Yupeng Gu
Yitong Zhou
Bo Zhao
Sicun Gao
Jishen Zhao
13
9
0
14 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon
Yue Wu
John Palowitch
Bryan Perozzi
Ruslan Salakhutdinov
17
7
0
10 Jul 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Hongkang Li
M. Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
GNN
16
27
0
07 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks
Maya Bechler-Speicher
Amir Globerson
Ran Gilad-Bachrach
25
3
0
06 Jul 2022
Learning node embeddings via summary graphs: a brief theoretical analysis
Houquan Zhou
Shenghua Liu
Danai Koutra
Huawei Shen
Xueqi Cheng
22
0
0
04 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu-Chiang Frank Wang
Yuying Zhao
Yi Zhang
Tyler Derr
GNN
32
61
0
03 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network
Andreas Roth
Thomas Liebig
GNN
34
14
0
01 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
48
32
0
29 Jun 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
Mandeep Rathee
Thorben Funke
Avishek Anand
Megha Khosla
38
14
0
28 Jun 2022
Cooperative Retriever and Ranker in Deep Recommenders
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLM
AI4TS
30
11
0
28 Jun 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
31
52
0
26 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis
Shweta Ann Jacob
Amirali Salehi-Abari
GNN
22
14
0
23 Jun 2022
Affinity-Aware Graph Networks
A. Velingker
A. Sinop
Ira Ktena
Petar Velickovic
Sreenivas Gollapudi
GNN
50
16
0
23 Jun 2022
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network
Boxin Du
Changhe Yuan
Fei-Yue Wang
Hanghang Tong
19
1
0
19 Jun 2022
Certified Graph Unlearning
Eli Chien
Chao Pan
O. Milenkovic
MU
30
38
0
18 Jun 2022
A Graph-Enhanced Click Model for Web Search
Jianghao Lin
Weiwen Liu
Xinyi Dai
Weinan Zhang
Shuai Li
Ruiming Tang
Xiuqiang He
Jianye Hao
Yong Yu
17
35
0
17 Jun 2022
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo
Jinyu Zhang
Lilia Tang
Tong Chen
Lei Zhu
Hongzhi Yin
20
34
0
16 Jun 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
Tong Wang
Guanyu Yang
Qijia He
Zhenquan Zhang
Junhua Wu
8
4
0
16 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
Chunhui Ai
Derui Wang
Xuemi Yan
Yang Xu
Wenrui Xie
Ziqiang Cao
19
0
0
15 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
Kounianhua Du
Weinan Zhang
Ruiwen Zhou
Yangkun Wang
Xilong Zhao
Jiarui Jin
Quan Gan
Zheng-Wei Zhang
David Wipf
AI4TS
18
9
0
14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Jinsong Chen
Kaiyuan Gao
Gaichao Li
Kun He
16
102
0
10 Jun 2022
Comprehensive Fair Meta-learned Recommender System
Tianxin Wei
Jingrui He
FedML
FaML
OffRL
19
38
0
09 Jun 2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng
Zhaoxuan Tan
Herun Wan
Ningnan Wang
Zilong Chen
...
Yanbo Wang
Lijing Zheng
Zihan Ma
Jundong Li
Minnan Luo
26
84
0
09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
Jaemin Yoo
Hyunsik Jeon
Jinhong Jung
U. Kang
BDL
11
17
0
09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
27
4
0
09 Jun 2022
Network Report: A Structured Description for Network Datasets
Xinyi Zheng
Ryan A. Rossi
Nesreen Ahmed
Dominik Moritz
17
3
0
08 Jun 2022
EiX-GNN : Concept-level eigencentrality explainer for graph neural networks
Adrien Raison
Pascal Bourdon
David Helbert
9
1
0
07 Jun 2022
Learning Backward Compatible Embeddings
Weihua Hu
Rajas Bansal
Kaidi Cao
Nikhil S. Rao
Karthik Subbian
J. Leskovec
14
15
0
07 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
33
50
0
06 Jun 2022
Graph Neural Networks with Precomputed Node Features
Béni Egressy
Roger Wattenhofer
17
2
0
01 Jun 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen
Tianning Xu
Dilek Z. Hakkani-Tür
Di Jin
Yun Yang
Ruoqing Zhu
13
4
0
01 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks
Dingmin Wang
Shengchao Liu
Hanchen Wang
Bernardo Cuenca Grau
Linfeng Song
Jian Tang
Song Le
Qi Liu
13
0
0
01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization
Zheng Chai
Guangji Bai
Liang Zhao
Yue Cheng
GNN
22
3
0
31 May 2022
COIN: Co-Cluster Infomax for Bipartite Graphs
Baoyu Jing
Yuchen Yan
Yada Zhu
Hanghang Tong
24
21
0
31 May 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Lequn Wang
Thorsten Joachims
17
22
0
30 May 2022
Personalized PageRank Graph Attention Networks
Julie Choi
GNN
8
5
0
27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
Jingwei Guo
Kaizhu Huang
Rui Zhang
Xinping Yi
AAML
28
4
0
27 May 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
Yijun Tian
Chuxu Zhang
Zhichun Guo
Chao Huang
Ronald A Metoyer
Nitesh V. Chawla
25
26
0
24 May 2022
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases
Bo He
Xiang Song
Vincent Gao
Christos Faloutsos
12
1
0
24 May 2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Paul Baltescu
Haoyu Chen
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
DML
24
33
0
24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
72
25
0
24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation
Huarui He
Jie Wang
Zhanqiu Zhang
Feng Wu
25
40
0
24 May 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
12
0
0
23 May 2022
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation
Daisuke Kikuta
Toyotaro Suzumura
Md. Mostafizur Rahman
Yuya Hirate
Satyen Abrol
Manoj Kondapaka
Takuma Ebisu
Pablo S. Loyola
19
1
0
23 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Saket Gurukar
Nikil Pancha
Andrew Zhai
Eric Kim
Samson Hu
Srinivas Parthasarathy
Charles R. Rosenberg
J. Leskovec
64
14
0
21 May 2022
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
Juanhui Li
Harry Shomer
Jiayu Ding
Yiqi Wang
Yao Ma
Neil Shah
Jiliang Tang
Dawei Yin
37
11
0
21 May 2022
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
13
4
0
20 May 2022
Previous
1
2
3
...
11
12
13
...
24
25
26
Next