Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,259 papers shown

Title
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 21 13 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 M. Zhang Fei Wu Zeke Wang GNN 37 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 28 13 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 6 32 0 29 Sep 2023
Sheaf Hypergraph Networks Iulia Duta Giulia Cassara Fabrizio Silvestri Pietro Lió 12 17 0 29 Sep 2023
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters Matthias Lanzinger Pablo Barceló 15 7 0 29 Sep 2023
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems X. Zhang Zongqiang Kuang Zehao Zhang Fan Huang Xianfeng Tan OffRL 19 3 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 22 2 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 27 36 0 25 Sep 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution Cong Xu Jun Wang Jianyong Wang Wei Zhang GNN 18 1 0 24 Sep 2023
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading Yuecheng Cai J. Jelovica AI4CE 37 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 20 2 0 22 Sep 2023
Long-tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao Zhengwei Wu Zhiqiang Zhang Jun Zhou 11 2 0 20 Sep 2023
Bregman Graph Neural Network Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 13 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 8 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 21 3 0 07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 22 9 0 06 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach Dong Li Divya Bhargavi V. Ravipati 23 5 0 06 Sep 2023
Interactive Graph Convolutional Filtering Jin Zhang Defu Lian Hong Xie Yawen Li Enhong Chen 27 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 35 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 26 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 19 1 0 29 Aug 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery Rebecca Salganik Fernando Diaz G. Farnadi 21 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 18 15 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 14 3 0 25 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 26 7 0 23 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 24 6 0 22 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 28 19 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 15 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 16 20 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 Bin Cui Yu Tong AAML 26 3 0 17 Aug 2023
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 17 1 0 16 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation Xiaolin Zheng Zhongyu Wang Chaochao Chen Jiashu Qian Yao Yang FedML 33 8 0 15 Aug 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations Lekang Jiang Caiqi Zhang Farimah Poursafaei Shenyang Huang 26 2 0 15 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen C. Yuan Y. Huang AAML 18 6 0 15 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut Kaidi Cao Rui Deng Shirley Wu E-Wen Huang Karthik Subbian J. Leskovec GNN 11 3 0 06 Aug 2023
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction E. López Fergal Stapleton 16 3 0 04 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs Marco Arazzi Mauro Conti Stefanos Koffas Marina Krček Antonino Nocera S. Picek Jing Xu FedML AAML 18 1 0 04 Aug 2023
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction Tao Zou Le Yu Leilei Sun Bo Du Deqing Wang Fuzhen Zhuang 13 8 0 04 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 27 13 0 04 Aug 2023
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation Ashraf Ghiye Baptiste Barreau Laurent Carlier Michalis Vazirgiannis 20 5 0 01 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis V. W. Anelli Daniele Malitesta Claudio Pomo Alejandro Bellogín T. D. Noia E. Sciascio 14 10 0 01 Aug 2023
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 24 1 0 26 Jul 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 28 2 0 25 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 10 3 0 20 Jul 2023
Sharpness-Aware Graph Collaborative Filtering Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 21 5 0 18 Jul 2023
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 11 2 0 17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 25 12 0 12 Jul 2023
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering Yan-Dong Wen Chen Gao Lingling Yi Liwei Qiu Yaqing Wang Yong Li 27 6 0 12 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 28 6 0 06 Jul 2023