Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,263 papers shown

Title
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 36 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 35 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 46 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 63 311 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 24 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 13 6 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 34 1 0 27 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks Saket Gurukar S. Venkatakrishnan B. Ravindran Srinivas Parthasarathy GNN 20 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 42 23 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 35 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 41 2 0 19 Jun 2023
Globally Interpretable Graph Learning via Distribution Matching Yi Nian Yurui Chang Wei Jin Lu Lin OOD 68 4 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 27 14 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 32 19 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 31 7 0 12 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 23 12 0 09 Jun 2023
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity S. Verma Burouj Armgaan Sourav Medya Sayan Ranu CML AI4CE 40 0 0 07 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations Eli J. Laird Ayesh Madushanka E. Kraka Corey Clark 37 1 0 07 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 39 52 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 27 40 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 17 13 0 31 May 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 41 30 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 17 7 0 30 May 2023
Robust Reinforcement Learning Objectives for Sequential Recommender Systems Melissa Mozifian Tristan Sylvain David Evans Li Meng OffRL 28 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 16 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 30 0 0 29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 50 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 32 3 0 25 May 2023
Fast Online Node Labeling for Very Large Graphs Baojian Zhou Yifan Sun Reza Babanezhad 20 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 28 4 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 Xia Hu 25 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 48 23 0 23 May 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 16 13 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 34 1 0 22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 29 4 0 22 May 2023
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition Haojun Xu Yanlei Gao Zheng Hui Jie Li Xinbo Gao 39 32 0 21 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 27 7 0 19 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design Andrew Holliday Gregory Dudek 17 1 0 18 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Luo Mai GNN 17 15 0 18 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 44 10 0 18 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 42 3 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 43 4 0 16 May 2023
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings Roberto Martínez-Cruz Debanjan Mahata Alvaro J. López-López J. Portela 65 4 0 16 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 34 29 0 14 May 2023
Turning Privacy-preserving Mechanisms against Federated Learning Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 27 15 0 09 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 24 15 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 47 22 0 03 May 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 16 6 0 28 Apr 2023
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach X. Peng Zhenkun Zhou Chong Zhang Ke Xu 34 1 0 22 Apr 2023
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model Yuanfu Yang Iuan-Kai Fang Min Sun S. Hsu MedIm 46 0 0 22 Apr 2023