Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,279 papers shown

Title
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation Dang Minh Nguyen Chenfei Wang Yan Shen Yifan Zeng GNN 52 7 0 30 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 122 12 0 28 Oct 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao Haobo Wang Ying Jin Lei Feng Gang Chen Fei Huang Junbo Zhao 129 19 0 26 Oct 2023
Graph Neural Networks with a Distribution of Parametrized Graphs See Hian Lee Feng Ji Kelin Xia Wee Peng Tay 72 0 0 25 Oct 2023
URL-BERT: Training Webpage Representations via Social Media Engagements A. Qamar Chetan Verma Ahmed El-Kishky Sumit Binnani Sneha Mehta Taylor Berg-Kirkpatrick 60 0 0 25 Oct 2023
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation Anshul Ahluwalia Rohit Das Payman Behnam Alind Khare Pan Li Alexey Tumanov 109 2 0 24 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for Recommendation Leiqian Han Hui Yan Zhicheng Qiao 86 1 0 24 Oct 2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution Noveen Sachdeva Lequn Wang Dawen Liang Nathan Kallus Julian McAuley OffRL 76 14 0 24 Oct 2023
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 88 14 0 23 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 106 12 0 23 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 99 3 0 20 Oct 2023
Knowledge Graph Context-Enhanced Diversified Recommendation Xiao-lin Liu Liangwei Yang Zhiwei Liu Mingdai Yang Chen Wang Hao Peng Philip S. Yu 79 4 0 20 Oct 2023
Cooperative Minibatching in Graph Neural Networks M. F. Balin Dominique LaSalle Ümit V. Çatalyürek GNN 71 1 0 19 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Haitian Jiang Renjie Liu Xiao Yan Zhenkun Cai Minjie Wang David Wipf Minjie Wang David Wipf GNN AI4CE 91 3 0 19 Oct 2023
LPFormer: An Adaptive Graph Transformer for Link Prediction Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang 100 8 0 17 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift An Zhang Wenchang Ma Jingnan Zheng Xiang Wang Tat-Seng Chua 82 23 0 16 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Sayan Ranu DD 89 16 0 14 Oct 2023
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 71 45 0 13 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 99 21 0 08 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan S. Verma Burouj Armgaan Khushbu Pahwa Ambuj K. Singh Sourav Medya Sayan Ranu 91 14 0 03 Oct 2023
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 60 5 0 02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 93 16 0 01 Oct 2023
Machine Learning for Practical Quantum Error Mitigation Haoran Liao Derek S. Wang Iskandar Sitdikov Ciro Salcedo Alireza Seif Zlatko K. Minev AAML AI4CE 47 38 0 29 Sep 2023
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters Matthias Lanzinger Pablo Barceló 65 8 0 29 Sep 2023
Sheaf Hypergraph Networks Iulia Duta Giulia Cassara Fabrizio Silvestri Pietro Lio 70 23 0 29 Sep 2023
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems Xinming Zhang Zongqiang Kuang Zehao Zhang Fan Huang Xianfeng Tan OffRL 70 4 0 27 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 91 3 0 27 Sep 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang ... Tong Geng Chenghong Wang Xiaolin Xu Wujie Wen Caiwen Ding 106 40 0 25 Sep 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution Cong Xu Jun Wang Jianyong Wang Wei Zhang GNN 66 1 0 24 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading Yuecheng Cai J. Jelovica AI4CE 56 0 0 22 Sep 2023
Recurrent Temporal Revision Graph Networks Yizhou Chen Anxiang Zeng Guangda Huzhang Qingtao Yu Kerui Zhang Yuan Cao Kangle Wu Han Yu Zhiming Zhou 78 3 0 22 Sep 2023
Long-tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao Zhengwei Wu Qing Cui Jun Zhou 24 5 0 20 Sep 2023
Bregman Graph Neural Network Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 40 4 0 12 Sep 2023
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems Keivan Faghih Niresi Mengjie Zhao Hugo Bissig Henri Baumann Olga Fink 70 4 0 08 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks Fahao Chen Peng Li Celimuge Wu GNN 65 4 0 07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 116 12 0 06 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach Dong Li Divya Bhargavi V. Ravipati 101 5 0 06 Sep 2023
Interactive Graph Convolutional Filtering Jin Zhang Defu Lian Hong Xie Yawen Li Enhong Chen 67 0 0 04 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 94 1 0 01 Sep 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 105 3 0 29 Aug 2023
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 82 2 0 29 Aug 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery Rebecca Salganik Fernando Diaz G. Farnadi 59 4 0 28 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 79 22 0 28 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction Guangji Bai Ziyang Yu Zheng Chai Yue Cheng Liang Zhao GNN 94 3 0 25 Aug 2023
A Survey of Graph Unlearning Anwar Said Hanyu Wang Mudassir Shabbir W. Abbas X. Koutsoukos MU 61 9 0 23 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 106 6 0 22 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 73 21 0 21 Aug 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 56 6 0 20 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing Mehdi Azabou Venkataraman Ganesh S. Thakoor Chi-Heng Lin Lakshmi Sathidevi Ran Liu Michal Valko Petar Velickovic Eva L. Dyer 97 23 0 17 Aug 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning Tianmeng Yang Min Zhou Yujing Wang Zhe-Min Lin Lujia Pan Tengjiao Wang Yu Tong AAML 76 3 0 17 Aug 2023