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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
    GNNBDL
ArXiv (abs)PDFHTML

Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,279 papers shown
Title
Accelerating Generic Graph Neural Networks via Architecture, Compiler,
  Partition Method Co-Design
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design
Shuwen Lu
Zhihui Zhang
Cong Guo
Jingwen Leng
Yangjie Zhou
Minyi Guo
GNN
44
1
0
16 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Xiaolin Zheng
Zhongyu Wang
Chaochao Chen
Jiashu Qian
Yao Yang
FedML
65
8
0
15 Aug 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade
  Between Nations
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
Lekang Jiang
Caiqi Zhang
Farimah Poursafaei
Shenyang Huang
90
2
0
15 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Guanghui Zhu
Meng Chen
Chun Yuan
Jiaming Ji
AAML
69
7
0
15 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut
Communication-Free Distributed GNN Training with Vertex Cut
Kaidi Cao
Rui Deng
Shirley Wu
E-Wen Huang
Karthik Subbian
J. Leskovec
GNN
81
4
0
06 Aug 2023
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
E. López
Fergal Stapleton
69
3
0
04 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi
Mauro Conti
Stefanos Koffas
Marina Krček
Antonino Nocera
S. Picek
Jing Xu
FedMLAAML
55
1
0
04 Aug 2023
Event-based Dynamic Graph Representation Learning for Patent Application
  Trend Prediction
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction
Tao Zou
Le Yu
Leilei Sun
Bo Du
Deqing Wang
Fuzhen Zhuang
19
8
0
04 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and
  MLPs
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Ling Yang
Ye Tian
Minkai Xu
Zhongyi Liu
Shenda Hong
Wei Qu
Wentao Zhang
Tengjiao Wang
Muhan Zhang
J. Leskovec
84
14
0
04 Aug 2023
Adaptive Collaborative Filtering with Personalized Time Decay Functions
  for Financial Product Recommendation
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
43
7
0
01 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and
  Reproducibility-driven Analysis
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
Vito Walter Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
Tommaso Di Noia
E. Sciascio
101
11
0
01 Aug 2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle
  Crushing Strength
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Tongya Zheng
Tianli Zhang
Qingzheng Guan
Wenjie Huang
Zunlei Feng
Min-Gyoo Song
Chun-Yen Chen
AI4CE
52
1
0
26 Jul 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Guowei Wu
Weike Pan
Zhong Ming
FedML
58
2
0
25 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
GNN
60
4
0
20 Jul 2023
Sharpness-Aware Graph Collaborative Filtering
Sharpness-Aware Graph Collaborative Filtering
Huiyuan Chen
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Junpeng Wang
Vivian Lai
Mahashweta Das
Hao Yang
75
5
0
18 Jul 2023
Evaluating and Enhancing Robustness of Deep Recommendation Systems
  Against Hardware Errors
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma
Xun Jiao
Fred Lin
Mengshi Zhang
Alban Desmaison
Thomas Sellinger
Daniel Moore
Sriram Sankar
62
2
0
17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular
  Topology Protection
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
111
15
0
12 Jul 2023
Efficient and Joint Hyperparameter and Architecture Search for
  Collaborative Filtering
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
Yan-Dong Wen
Chen Gao
Lingling Yi
Liwei Qiu
Yaqing Wang
Yong Li
46
6
0
12 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuanchen Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
88
6
0
06 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
171
348
0
05 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph
  Neural Network over Huge Graphs
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs
Dalong Zhang
Xianzheng Song
Zhiyang Hu
Yang Li
Miao Tao
Binbin Hu
Lin Wang
Qing Cui
Jun Zhou
GNN
59
4
0
01 Jul 2023
Dimension Independent Mixup for Hard Negative Sample in Collaborative
  Filtering
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
Xi Wu
Liangwei Yang
Jibing Gong
Chao Zhou
Tianyu Lin
Xiao-lin Liu
Philip S. Yu
41
7
0
28 Jun 2023
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
Damitha Sandeepa Lenadora
Vimarsh Sathia
Gerasimos Gerogiannis
Serif Yesil
Josep Torrellas
Charith Mendis
GNN
68
1
0
27 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph
  Convolutional Networks
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Saket Gurukar
S. Venkatakrishnan
B. Ravindran
Srinivas Parthasarathy
GNN
36
0
0
25 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Yizhou Sun
GNNAI4CE
103
25
0
24 Jun 2023
Geometric Pooling: maintaining more useful information
Geometric Pooling: maintaining more useful information
Hao Xu
Jia Liu
Yang Shen
Kenan Lou
Yanxia Bao
Ruihua Zhang
Shuyue Zhou
Hongsen Zhao
Shuai Wang
63
0
0
21 Jun 2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network
  Representation Learning
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
Yun Yi
Haokui Zhang
Rong Xiao
Nan Wang
Xiaoyu Wang
GNN
69
3
0
19 Jun 2023
Globally Interpretable Graph Learning via Distribution Matching
Globally Interpretable Graph Learning via Distribution Matching
Yi Nian
Yurui Chang
Wei Jin
Lu Lin
OOD
129
6
0
18 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and
  Membership Privacy
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Enyan Dai
Limeng Cui
Zhengyang Wang
Xianfeng Tang
Yinghan Wang
Mo Cheng
Bin Yin
Suhang Wang
AAML
99
16
0
14 Jun 2023
Better Generalization with Semantic IDs: A Case Study in Ranking for
  Recommendations
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
Anima Singh
Trung Vu
Nikhil Mehta
Raghunandan H. Keshavan
M. Sathiamoorthy
...
Lukasz Heldt
Li Wei
Devansh Tandon
Ed H. Chi
Xinyang Yi
84
24
0
13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSLOOD
93
7
0
12 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction
CrysMMNet: Multimodal Representation for Crystal Property Prediction
Kishalay Das
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
58
13
0
09 Jun 2023
Empowering Counterfactual Reasoning over Graph Neural Networks through
  Inductivity
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity
S. Verma
Burouj Armgaan
Sourav Medya
Sayan Ranu
CMLAI4CE
62
0
0
07 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations
Eli J. Laird
Ayesh Madushanka
E. Kraka
Corey Clark
50
1
0
07 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
119
64
0
07 Jun 2023
User Behavior Simulation with Large Language Model based Agents
User Behavior Simulation with Large Language Model based Agents
Lei Wang
Jingsen Zhang
Hao-ran Yang
Zhiyuan Chen
Jiakai Tang
...
Wayne Xin Zhao
Jun Xu
Zhicheng Dou
Jun Wang
Ji-Rong Wen
LM&RoLLMAG
123
51
0
05 Jun 2023
TransAct: Transformer-based Realtime User Action Model for
  Recommendation at Pinterest
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
Xue Xia
Pong Eksombatchai
Nikil Pancha
Dhruvil Badani
Po-Wei Wang
Neng Gu
Saurabh Vishwas Joshi
Nazanin Farahpour
Zhiyuan Zhang
Andrew Zhai
AI4TS
50
15
0
31 May 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
89
33
0
31 May 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light
  Graph Convolution for Effective Multi-Criteria Recommendation
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
Jin-Duk Park
Siqing Li
Xin Cao
Won-Yong Shin
93
7
0
30 May 2023
Robust Reinforcement Learning Objectives for Sequential Recommender
  Systems
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Melissa Mozifian
Tristan Sylvain
David Evans
Li Meng
OffRL
51
0
0
30 May 2023
Graph Exploration Matters: Improving both individual-level and
  system-level diversity in WeChat Feed Recommender
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender
Shuai Yang
Lixin Zhang
Feng Xia
Leyu Lin
36
1
0
29 May 2023
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text
Ruiyang Li
Fujun Yang
Xianjie Liu
Hon-Yi Shi
75
0
0
29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
89
7
0
26 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Xiaohui Chen
Jiankai Sun
Taiqing Wang
Ruocheng Guo
Liping Liu
Aonan Zhang
45
3
0
25 May 2023
Fast Online Node Labeling for Very Large Graphs
Fast Online Node Labeling for Very Large Graphs
Baojian Zhou
Yifan Sun
Reza Babanezhad
49
4
0
25 May 2023
Representation Online Matters: Practical End-to-End Diversification in
  Search and Recommender Systems
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems
Pedro Silva
Bhawna Juneja
Shloka Desai
Ashudeep Singh
N. Fawaz
50
6
0
24 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Helen Zhou
79
6
0
24 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
96
29
0
23 May 2023
Road Planning for Slums via Deep Reinforcement Learning
Road Planning for Slums via Deep Reinforcement Learning
Y. Zheng
Hongyuan Su
Jingtao Ding
Depeng Jin
Yong Li
80
14
0
22 May 2023
Attentive Graph-based Text-aware Preference Modeling for Top-N
  Recommendation
Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation
Ming-Hao Juan
Pu-Jen Cheng
Hui-Neng Hsu
Pin-Hsin Hsiao
38
2
0
22 May 2023
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