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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
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating
  Prediction
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
Shuheng Fang
Kangfei Zhao
Yu Rong
Zhixun Li
Jeffrey Xu Yu
94
0
0
26 Mar 2024
Diffusion-based Negative Sampling on Graphs for Link Prediction
Diffusion-based Negative Sampling on Graphs for Link Prediction
Trung-Kien Nguyen
Yuan Fang
DiffM
76
11
0
25 Mar 2024
A Unified CPU-GPU Protocol for GNN Training
A Unified CPU-GPU Protocol for GNN Training
Yi-Chien Lin
Gangda Deng
Viktor Prasanna
GNN3DH
52
2
0
25 Mar 2024
Graph Augmentation for Recommendation
Graph Augmentation for Recommendation
Qianru Zhang
Lianghao Xia
Xuheng Cai
Siu-keung Yiu
Chao Huang
Christian S. Jensen
80
7
0
25 Mar 2024
A Federated Parameter Aggregation Method for Node Classification Tasks
  with Different Graph Network Structures
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
Hao Song
Jiacheng Yao
Zhengxi Li
Shaocong Xu
Shibo Jin
Jiajun Zhou
Chenbo Fu
Qi Xuan
Shanqing Yu
FedML
82
0
0
24 Mar 2024
Simple Graph Condensation
Simple Graph Condensation
Zhenbang Xiao
Yu Wang
Shunyu Liu
Huiqiong Wang
Mingli Song
Tongya Zheng
DD
145
8
0
22 Mar 2024
Accelerating Matrix Factorization by Dynamic Pruning for Fast
  Recommendation
Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
Yining Wu
Shengyu Duan
G. Sai
Chenhong Cao
Guobing Zou
28
0
0
18 Mar 2024
Layer-diverse Negative Sampling for Graph Neural Networks
Layer-diverse Negative Sampling for Graph Neural Networks
Wei Duan
Jie Lu
Yu Guang Wang
Junyu Xuan
80
5
0
18 Mar 2024
Edge Private Graph Neural Networks with Singular Value Perturbation
Edge Private Graph Neural Networks with Singular Value Perturbation
Tingting Tang
Yue Niu
A. Avestimehr
Murali Annavaram
AAML
53
1
0
16 Mar 2024
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning
Eugene Ku
49
0
0
16 Mar 2024
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic
  Tasks
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
Viktor Moskvoretskii
Ekaterina Neminova
Alina Lobanova
Alexander Panchenko
Irina Nikishina
71
9
0
14 Mar 2024
A Physics-driven GraphSAGE Method for Physical Process Simulations
  Described by Partial Differential Equations
A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations
Hang Hu
Sidi Wu
Guoxiong Cai
Na Liu
51
1
0
13 Mar 2024
Towards Graph Foundation Models for Personalization
Towards Graph Foundation Models for Personalization
Andreas Damianou
Francesco Fabbri
Paul Gigioli
Marco De Nadai
Alice Wang
Enrico Palumbo
M. Lalmas
AI4CE
71
8
0
12 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace
  Approach
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang
Wencai Cao
Hoang Ta
Xiaokui Xiao
Pietro Lio
133
6
0
12 Mar 2024
A Differential Geometric View and Explainability of GNN on Evolving
  Graphs
A Differential Geometric View and Explainability of GNN on Evolving Graphs
Yazheng Liu
Xi Zhang
Sihong Xie
63
3
0
11 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node
  Classification
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
Qiuyu Liang
Weihua Wang
F. Bao
Guanglai Gao
75
9
0
10 Mar 2024
Personalized Audiobook Recommendations at Spotify Through Graph Neural
  Networks
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
Marco De Nadai
Francesco Fabbri
Paul Gigioli
Alice Wang
Ang Li
...
Sandeep Ghael
David Nyhan
Hugues Bouchard
M. Lalmas
Andreas Damianou
72
15
0
08 Mar 2024
Multi-Tower Multi-Interest Recommendation with User Representation Repel
Multi-Tower Multi-Interest Recommendation with User Representation Repel
Tianyu Xiong
Xiaohan Yu
126
1
0
08 Mar 2024
Federated Recommendation via Hybrid Retrieval Augmented Generation
Federated Recommendation via Hybrid Retrieval Augmented Generation
Huimin Zeng
Zhenrui Yue
Qian Jiang
Dong Wang
FedML
102
14
0
07 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark Coates
CLL
102
1
0
06 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via
  Bi-directional Adaptation
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
Zhen Zhang
Meihan Liu
Anhui Wang
Hongyang Chen
Zhao Li
Jiajun Bu
Bingsheng He
TTA
86
13
0
03 Mar 2024
OpenGraph: Towards Open Graph Foundation Models
OpenGraph: Towards Open Graph Foundation Models
Lianghao Xia
Ben Kao
Chao Huang
AI4CE
107
41
0
02 Mar 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday
Gregory Dudek
86
0
0
27 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
120
11
0
27 Feb 2024
Pfeed: Generating near real-time personalized feeds using precomputed
  embedding similarities
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
B. Gebre
Karoliina Ranta
S. V. D. Elzen
Ernst Kuiper
Thijs Baars
Tom Heskes
80
1
0
25 Feb 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward
  Comprehensive Benchmarks
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
Qian Ma
Hongliang Chi
Hengrui Zhang
Kay Liu
Zhiwei Zhang
Lu Cheng
Suhang Wang
Philip S. Yu
Yao Ma
79
3
0
24 Feb 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng
Junwei Su
Chao Huang
Chuan Wu
68
5
0
23 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang
Rui Xue
Wenqi Fan
Xin Xu
Qing Li
Jian Pei
Xiaorui Liu
AI4CE
86
30
0
21 Feb 2024
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
Ping Liu
Haichao Wei
Xiaochen Hou
Jianqiang Shen
Shihai He
...
Liang Wu
S. Veeraraghavan
Alex Tsun
Chen-Chen Jiang
Wenjing Zhang
54
4
0
20 Feb 2024
Can GNN be Good Adapter for LLMs?
Can GNN be Good Adapter for LLMs?
Xuanwen Huang
Kaiqiao Han
Yang Yang
Dezheng Bao
Quanjin Tao
Ziwei Chai
Qi Zhu
AI4CE
85
45
0
20 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid
  Federated Approach
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach
Chengyi Ju
Jiannong Cao
Yu Yang
Zhen-Qun Yang
Ho Man Lee
44
1
0
19 Feb 2024
Stealthy Attack on Large Language Model based Recommendation
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang
Yuting Liu
Qiang Liu
Shu Wu
Guibing Guo
Liang Wang
85
14
0
18 Feb 2024
LiGNN: Graph Neural Networks at LinkedIn
LiGNN: Graph Neural Networks at LinkedIn
Fedor Borisyuk
Shihai He
Yunbo Ouyang
Morteza Ramezani
Peng Du
...
David Stein
Baolei Li
Haichao Wei
Amol Ghoting
Souvik Ghosh
GNN
85
15
0
17 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise
  Augmentation
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
Xinjian Zhao
Liang Zhang
Yang Liu
Ruocheng Guo
Xiangyu Zhao
68
0
0
16 Feb 2024
Node Duplication Improves Cold-start Link Prediction
Node Duplication Improves Cold-start Link Prediction
Zhichun Guo
Tong Zhao
Yozen Liu
Kaiwen Dong
William Shiao
Neil Shah
Nitesh Chawla
AI4CE
65
4
0
15 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
55
1
0
14 Feb 2024
Large Language Model with Graph Convolution for Recommendation
Large Language Model with Graph Convolution for Recommendation
Yingpeng Du
Ziteng Wang
Zhu Sun
Haoyan Chua
Hongzhi Liu
Zhonghai Wu
Yining Ma
Jie Zhang
Youchen Sun
89
8
0
14 Feb 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
Wuxinlin Cheng
Chenhui Deng
Ali Aghdaei
Zhiru Zhang
Zhuo Feng
AAML
78
1
0
13 Feb 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering
Frequency-aware Graph Signal Processing for Collaborative Filtering
Jiafeng Xia
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Li Shang
Ning Gu
65
2
0
13 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime
Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian
Yixuan He
Gesine Reinert
Lukasz Szpruch
Samuel N. Cohen
60
3
0
10 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
105
5
0
09 Feb 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on
  Multi-Core Processor
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor
Yi-Chien Lin
Yuyang Chen
Sameh Gobriel
Nilesh Jain
Gopi Krishna Jha
Viktor Prasanna
GNN
48
4
0
06 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
Enyan Dai
Min Lin
Suhang Wang
78
3
0
06 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
141
44
0
03 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi
Wei Jin
Charu C. Aggarwal
Yao Ma
50
3
0
02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via
  Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang
Xinfeng Li
Kun Wang
Sihang Li
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
63
11
0
02 Feb 2024
Empirical and Experimental Perspectives on Big Data in Recommendation
  Systems: A Comprehensive Survey
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
Kamal Taha
Paul D. Yoo
Aya Taha
61
2
0
01 Feb 2024
Graph Fairness Learning under Distribution Shifts
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
79
8
0
30 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Zhongang Qi
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
100
28
0
28 Jan 2024
Improving One-class Recommendation with Multi-tasking on Various
  Preference Intensities
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
Chu-Jen Shao
Hao-Ming Fu
Pu-Jen Cheng
41
1
0
18 Jan 2024
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