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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 / 1,342 papers shown
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU
  Heterogeneous Environments
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous EnvironmentsProceedings of the VLDB Endowment (PVLDB), 2023
Xin Ai
Qiange Wang
Chunyu Cao
Yanfeng Zhang
Chaoyi Chen
Hao Yuan
Yu Gu
Ge Yu
GNN
196
14
0
22 Nov 2023
A Poincaré Inequality and Consistency Results for Signal Sampling on
  Large Graphs
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
Thien Le
Luana Ruiz
Stefanie Jegelka
225
1
0
17 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution
  Systems
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
Huy Truong
Andres Tello
Alexander Lazovik
Victoria Degeler
266
24
0
17 Nov 2023
Scaling User Modeling: Large-scale Online User Representations for Ads
  Personalization in Meta
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
Wei Zhang
Dai Li
Chen Liang
Fang Zhou
Zhongke Zhang
...
Huayu Li
Yunnan Wu
Zhan Shu
Mindi Yuan
Sri Reddy
278
21
0
16 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks
Preserving Node-level Privacy in Graph Neural NetworksIEEE Symposium on Security and Privacy (S&P), 2023
Zihang Xiang
Tianhao Wang
Di Wang
349
20
0
12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for
  Recommendation Systems
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems
Haojun Zhu
Vikram Kapoor
Priya Sharma
GNN
164
0
0
10 Nov 2023
Mixture of Weak & Strong Experts on Graphs
Mixture of Weak & Strong Experts on Graphs
Hanqing Zeng
Hanjia Lyu
Diyi Hu
Yinglong Xia
Jiebo Luo
323
5
0
09 Nov 2023
Predicting Properties of Nodes via Community-Aware Features
Predicting Properties of Nodes via Community-Aware Features
B. Kamiński
P. Prałat
F. Théberge
Sebastian Zajac
226
4
0
08 Nov 2023
Prioritized Propagation in Graph Neural Networks
Prioritized Propagation in Graph Neural Networks
Yao Cheng
Minjie Chen
Xiang Li
Caihua Shan
Ming Gao
AI4CE
183
0
0
06 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph
  Contrastive Learning
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023
Xiaojun Guo
Yifei Wang
Zeming Wei
Yisen Wang
235
17
0
05 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2023
Zeyu Song
Ehsanul Kabir
Shagufta Mehnaz
292
1
0
03 Nov 2023
GATSY: Graph Attention Network for Music Artist Similarity
GATSY: Graph Attention Network for Music Artist Similarity
Andrea Giuseppe Di Francesco
Giuliano Giampietro
Indro Spinelli
Danilo Comminiello
375
1
0
01 Nov 2023
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in
  Shopee's Advertisement Recommendation
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement RecommendationACM Conference on Recommender Systems (RecSys), 2023
Dang Minh Nguyen
Chenfei Wang
Yan Shen
Yifan Zeng
GNN
140
8
0
30 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance DecompositionNeural Information Processing Systems (NeurIPS), 2023
Divin Yan
Gengchen Wei
Chen Yang
Shengzhong Zhang
Zengfeng Huang
AI4CE
479
21
0
28 Oct 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
SPA: A Graph Spectral Alignment Perspective for Domain AdaptationNeural Information Processing Systems (NeurIPS), 2023
Zhiqing Xiao
Haobo Wang
Ying Jin
Lei Feng
Gang Chen
Fei Huang
Junbo Zhao
304
34
0
26 Oct 2023
Graph Neural Networks with a Distribution of Parametrized Graphs
Graph Neural Networks with a Distribution of Parametrized GraphsInternational Conference on Machine Learning (ICML), 2023
See Hian Lee
Feng Ji
Kelin Xia
Wee Peng Tay
286
1
0
25 Oct 2023
URL-BERT: Training Webpage Representations via Social Media Engagements
URL-BERT: Training Webpage Representations via Social Media Engagements
A. Qamar
Chetan Verma
Ahmed El-Kishky
Sumit Binnani
Sneha Mehta
Taylor Berg-Kirkpatrick
235
0
0
25 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for
  Recommendation
Topology-aware Debiased Self-supervised Graph Learning for RecommendationIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Leiqian Han
Hui Yan
Zhicheng Qiao
210
2
0
24 Oct 2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
Off-Policy Evaluation for Large Action Spaces via Policy ConvolutionThe Web Conference (WWW), 2023
Noveen Sachdeva
Lequn Wang
Dawen Liang
Nathan Kallus
Julian McAuley
OffRL
270
16
0
24 Oct 2023
STRIDE: Structure and Embedding Distillation with Attention for Graph Neural Networks
STRIDE: Structure and Embedding Distillation with Attention for Graph Neural Networks
Anshul Ahluwalia
Rohit Das
Rohit Das
Alind Khare
Biswadeep Chakraborty
Pan Li
Alexey Tumanov
348
2
0
24 Oct 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
Mouxiang Chen
Zemin Liu
Chenghao Liu
Jundong Li
Qiheng Mao
Jianling Sun
AAML
260
15
0
23 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection
Efficient Heterogeneous Graph Learning via Random ProjectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jun Hu
Bryan Hooi
Bingsheng He
287
26
0
23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks
Adversarial Attacks on Fairness of Graph Neural Networks
Binchi Zhang
Yushun Dong
Chen Chen
Yada Zhu
Minnan Luo
Jundong Li
256
7
0
20 Oct 2023
Knowledge Graph Context-Enhanced Diversified Recommendation
Knowledge Graph Context-Enhanced Diversified Recommendation
Xiao-lin Liu
Liangwei Yang
Zhiwei Liu
Mingdai Yang
Chen Wang
Hao Peng
Philip S. Yu
214
16
0
20 Oct 2023
Cooperative Minibatching in Graph Neural Networks
Cooperative Minibatching in Graph Neural Networks
M. F. Balin
Dominique LaSalle
Ümit V. Çatalyürek
GNN
251
1
0
19 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based EnergyInternational Conference on Learning Representations (ICLR), 2023
Haitian Jiang
Renjie Liu
Xiao Yan
Zhenkun Cai
Minjie Wang
David Wipf
Minjie Wang
David Wipf
GNNAI4CE
274
3
0
19 Oct 2023
LPFormer: An Adaptive Graph Transformer for Link Prediction
LPFormer: An Adaptive Graph Transformer for Link PredictionKnowledge Discovery and Data Mining (KDD), 2023
Harry Shomer
Yao Ma
Haitao Mao
Juanhui Li
Bo Wu
Shucheng Zhou
376
23
0
17 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift
Robust Collaborative Filtering to Popularity Distribution Shift
An Zhang
Wenchang Ma
Jingnan Zheng
Xiang Wang
Tat-Seng Chua
277
37
0
16 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mridul Gupta
S. Manchanda
H. Kodamana
Jignesh M. Patel
DD
284
16
0
14 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart?
Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang
Kai Wang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Hao Tang
Yang You
Jianxin Li
DD
243
52
0
13 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A SurveyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
330
29
0
08 Oct 2023
Network Alignment with Transferable Graph Autoencoders
Network Alignment with Transferable Graph Autoencoders
Jiashu He
Charilaos I. Kanatsoulis
Alejandro Ribeiro
222
4
0
05 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers
  through In-depth Benchmarking
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth BenchmarkingInternational Conference on Learning Representations (ICLR), 2023
Mert Kosan
S. Verma
Burouj Armgaan
Khushbu Pahwa
Ambuj K. Singh
Sourav Medya
Jignesh M. Patel
379
19
0
03 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale
  Graphs with In-memory Performance
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance
Jie Sun
Mo Sun
Zheng Zhang
Jun Xie
Zuocheng Shi
Zihan Yang
Jie Zhang
Leilei Gan
Zeke Wang
GNN
130
9
0
02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via
  Test-time Augmentation
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time AugmentationNeural Information Processing Systems (NeurIPS), 2023
Mingxuan Ju
Tong Zhao
Wenhao Yu
Neil Shah
Yanfang Ye
284
31
0
01 Oct 2023
Machine Learning for Practical Quantum Error Mitigation
Machine Learning for Practical Quantum Error Mitigation
Haoran Liao
Derek S. Wang
Iskandar Sitdikov
Ciro Salcedo
Alireza Seif
Zlatko K. Minev
AAMLAI4CE
98
72
0
29 Sep 2023
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
On the Power of the Weisfeiler-Leman Test for Graph Motif ParametersInternational Conference on Learning Representations (ICLR), 2023
Matthias Lanzinger
Pablo Barceló
244
11
0
29 Sep 2023
Sheaf Hypergraph Networks
Sheaf Hypergraph NetworksNeural Information Processing Systems (NeurIPS), 2023
Iulia Duta
Giulia Cassara
Fabrizio Silvestri
Pietro Lio
266
40
0
29 Sep 2023
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems
Cold & Warm Net: Addressing Cold-Start Users in Recommender SystemsInternational Conference on Database Systems for Advanced Applications (DASFAA), 2023
Xinming Zhang
Zongqiang Kuang
Zehao Zhang
Fan Huang
Xianfeng Tan
OffRL
174
7
0
27 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with
  Dynamic Graphs
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic GraphsICCD (ICCD), 2023
Jiawen Wang
Quan Chen
Deze Zeng
Zhuo Song
Yiwu Yao
Minyi Guo
GNN
259
4
0
27 Sep 2023
LinGCN: Structural Linearized Graph Convolutional Network for
  Homomorphically Encrypted Inference
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted InferenceNeural Information Processing Systems (NeurIPS), 2023
Hongwu Peng
Ran Ran
Yukui Luo
Jiahui Zhao
Shaoyi Huang
...
Tong Geng
Chenghong Wang
Xiaolin Xu
Wujie Wen
Caiwen Ding
318
45
0
25 Sep 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding
  Evolution
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding EvolutionNeural Information Processing Systems (NeurIPS), 2023
Cong Xu
Jun Wang
Jianyong Wang
Wei Zhang
GNN
206
2
0
24 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under
  Uniform Loading
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading
Yuecheng Cai
J. Jelovica
AI4CE
168
0
0
22 Sep 2023
Recurrent Temporal Revision Graph Networks
Recurrent Temporal Revision Graph NetworksNeural Information Processing Systems (NeurIPS), 2023
Yizhou Chen
Anxiang Zeng
Guangda Huzhang
Qingtao Yu
Kerui Zhang
Yuan Cao
Kangle Wu
Han Yu
Zhiming Zhou
222
4
0
22 Sep 2023
Long-tail Augmented Graph Contrastive Learning for Recommendation
Long-tail Augmented Graph Contrastive Learning for Recommendation
Qian Zhao
Zhengwei Wu
Qing Cui
Jun Zhou
133
11
0
20 Sep 2023
Bregman Graph Neural Network
Bregman Graph Neural NetworkIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jiayu Zhai
Lequan Lin
Dai Shi
Junbin Gao
138
5
0
12 Sep 2023
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air
  Pollution Monitoring Systems
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring SystemsItalian National Conference on Sensors (INS), 2023
Keivan Faghih Niresi
Mengjie Zhao
Hugo Bissig
Henri Baumann
Olga Fink
198
6
0
08 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using
  Graph Partitioning by Chunks
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
Fahao Chen
Peng Li
Celimuge Wu
GNN
151
9
0
07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via
  Bayesian Estimation
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian EstimationConference on Computer and Communications Security (CCS), 2023
Xiaochen Zhu
Vincent Y. F. Tan
Xiaokui Xiao
282
17
0
06 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical
  Graph Attention Approach
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach
Dong Li
Divya Bhargavi
V. Ravipati
306
6
0
06 Sep 2023
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