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 (abs)
PDF
HTML
Papers citing
"Graph Convolutional Neural Networks for Web-Scale Recommender Systems"
50 / 1,279 papers shown
Title
Few-Shot Learning on Graphs
Chuxu Zhang
Kaize Ding
Jundong Li
Xiangliang Zhang
Yanfang Ye
Nitesh Chawla
Huan Liu
133
20
0
17 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
Ramin Raziperchikolaei
Young-joo Chung
54
2
0
14 Mar 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Yan Yan
T. Liao
Jinjin Zhao
Jiahong Wang
Liang Ma
Wei Lv
Jing Xiong
Lei Wang
65
20
0
14 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Hongkuan Zhou
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN
63
23
0
10 Mar 2022
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
Joshua Melton
Michael Ridenhour
S. Krishnan
GNN
21
1
0
03 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
85
67
0
02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
110
61
0
01 Mar 2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022
Qian Zhao
Shuo Yang
Binbin Hu
Qing Cui
Yakun Wang
Yusong Chen
Jun Zhou
Chuan Shi
22
1
0
01 Mar 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Yanbang Wang
Jianguo Wang
Pan Li
65
37
0
28 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction
Fang Da
Yu Zhang
GNN
109
28
0
23 Feb 2022
Message passing all the way up
Petar Velickovic
175
66
0
22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification
Jaemin Yoo
Sooyeon Shim
U. Kang
GNN
87
30
0
21 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks
Mingxuan Ju
Yujie Fan
Yanfang Ye
Liang Zhao
AAML
118
2
0
18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
130
83
0
17 Feb 2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Wei Wei
Chao Huang
Lianghao Xia
Yong-mei Xu
Jiashu Zhao
Dawei Yin
95
170
0
17 Feb 2022
Task-Agnostic Graph Explanations
Yaochen Xie
S. Katariya
Xianfeng Tang
E-Wen Huang
Nikhil S. Rao
Karthik Subbian
Shuiwang Ji
87
26
0
16 Feb 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
Songlei Wang
Yifeng Zheng
Xiaohua Jia
GNN
102
25
0
16 Feb 2022
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks
Xiangtai Chen
Tao Tang
Jing Ren
Ivan Lee
Honglong Chen
Xiwei Xu
63
7
0
16 Feb 2022
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs
Xiwei Xu
Lei Wang
Tao Tang
Xin Chen
Xiangjie Kong
G. Oatley
Irwin King
GNN
65
32
0
16 Feb 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
113
87
0
15 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Xin-Yang Zheng
Yi Wang
Yixin Liu
Ming Li
Miao Zhang
Di Jin
Philip S. Yu
Shirui Pan
103
227
0
14 Feb 2022
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection
Yufan Zeng
Jiashan Tang
50
2
0
14 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Qingquan Song
Jundong Li
Helen Zhou
65
21
0
13 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Zihan Lin
Changxin Tian
Yupeng Hou
Wayne Xin Zhao
78
442
0
13 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network
Yajing Liu
Zhengya Sun
Wensheng Zhang
64
27
0
12 Feb 2022
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
Minhao Jiang
Xiangchen Song
Jieyu Zhang
Jiawei Han
52
36
0
10 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
80
48
0
08 Feb 2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Yaohua Wang
Yaobin Zhang
Fangyi Zhang
Ming-Ching Lin
Yuqi Zhang
Senzhang Wang
Xiuyu Sun
CVBM
84
29
0
08 Feb 2022
NxtPost: User to Post Recommendations in Facebook Groups
Kaushik Rangadurai
Yiqun Liu
Siddarth Malreddy
Xiaoyi Liu
P. Maheshwari
Vishwanath Sangale
Fedor Borisyuk
47
6
0
08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences
Meng Liu
Shuiwang Ji
GNN
69
3
0
07 Feb 2022
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation
Xiang-jian Wang
Qian Li
Dianer Yu
Peng Cui
Zhichao Wang
Guandong Xu
CML
116
32
0
05 Feb 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Mengyue Hang
Tobias Schnabel
Longqi Yang
Jennifer Neville
41
6
0
04 Feb 2022
Graph-Coupled Oscillator Networks
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
108
115
0
04 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
90
112
0
04 Feb 2022
Graph Coloring with Physics-Inspired Graph Neural Networks
M. Schuetz
J. K. Brubaker
Z. Zhu
H. Katzgraber
AI4CE
55
36
0
03 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
184
54
0
01 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings
Krzysztof Sadowski
Michal Szarmach
Eddie Mattia
65
6
0
01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
Or Feldman
A. Boyarski
Shai Feldman
D. Kogan
A. Mendelson
Chaim Baskin
92
16
0
31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Guanyu Cui
Zhewei Wei
70
8
0
31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp
Roger Wattenhofer
140
48
0
30 Jan 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Chenhui Deng
Xiuyu Li
Zhuobo Feng
Zhiru Zhang
AAML
122
24
0
30 Jan 2022
Learning Stochastic Graph Neural Networks with Constrained Variance
Zhan Gao
Elvin Isufi
111
5
0
29 Jan 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang
Yozen Liu
Neil Shah
Yizhou Sun
FAtt
124
48
0
28 Jan 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
Sean Current
Yuntian He
Saket Gurukar
Srinivas Parthasarathy
209
15
0
27 Jan 2022
Explainability in Music Recommender Systems
Darius Afchar
Alessandro B. Melchiorre
Markus Schedl
Romain Hennequin
Elena V. Epure
Manuel Moussallam
103
50
0
25 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
Miryeong Kwon
Donghyun Gouk
Sangwon Lee
Myoungsoo Jung
GNN
40
27
0
23 Jan 2022
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI
Jalal Mirakhorli
55
1
0
21 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
51
5
0
21 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
92
148
0
19 Jan 2022
Recommendation Unlearning
C. L. Philip Chen
Fei Sun
Hao Fei
Bolin Ding
MU
88
96
0
18 Jan 2022
Previous
1
2
3
...
13
14
15
...
24
25
26
Next