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
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 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 Lekang Jiang Caiqi Zhang Farimah Poursafaei Shenyang Huang 90 2 0 15 Aug 2023
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 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 E. López Fergal Stapleton 69 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 55 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 19 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 Tengjiao Wang Muhan Zhang J. Leskovec 84 14 0 04 Aug 2023
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 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 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 Guowei Wu Weike Pan Zhong Ming FedML 58 2 0 25 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 60 4 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 75 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 62 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 111 15 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 46 6 0 12 Jul 2023
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) 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 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 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 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 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 Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 103 25 0 24 Jun 2023
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 Yun Yi Haokui Zhang Rong Xiao Nan Wang Xiaoyu Wang GNN 69 3 0 19 Jun 2023
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 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 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 William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 93 7 0 12 Jun 2023
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 S. Verma Burouj Armgaan Sourav Medya Sayan Ranu CML AI4CE 62 0 0 07 Jun 2023
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 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 Lei Wang Jingsen Zhang Hao-ran Yang Zhiyuan Chen Jiakai Tang ... Wayne Xin Zhao Jun Xu Zhicheng Dou Jun Wang Ji-Rong Wen LM&Ro LLMAG 123 51 0 05 Jun 2023
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 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 Jin-Duk Park Siqing Li Xin Cao Won-Yong Shin 93 7 0 30 May 2023
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 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 Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 89 7 0 26 May 2023
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 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 Pedro Silva Bhawna Juneja Shloka Desai Ashudeep Singh N. Fawaz 50 6 0 24 May 2023
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 Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 96 29 0 23 May 2023
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 Ming-Hao Juan Pu-Jen Cheng Hui-Neng Hsu Pin-Hsin Hsiao 38 2 0 22 May 2023