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
On Representation Knowledge Distillation for Graph Neural Networks Chaitanya K. Joshi Fayao Liu Xu Xun Jie Lin Chuan-Sheng Foo 100 64 0 09 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 84 51 0 08 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 82 2 0 05 Nov 2021
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator Zhuofu Tao Chen Wu Yuan Liang Lei He GNN 26 27 0 04 Nov 2021
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models A. Hotti Riccardo Sven Risuleo Stefan Magureanu Aref Moradi J. Lagergren 85 5 0 03 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning Jamie Cui Cen Chen Tiandi Ye Li Wang FedML 76 2 0 02 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling Fahao Chen Peng Li T. Miyazaki Celimuge Wu FedML 86 81 0 02 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing Zhe Zhou Cong Li Xuechao Wei Xiaoyang Wang Guangyu Sun GNN 26 28 0 01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 53 3 0 29 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 72 76 0 28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 113 19 0 28 Oct 2021
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs Hongyu Ren H. Dai Bo Dai Xinyun Chen Denny Zhou J. Leskovec Dale Schuurmans LRM 73 42 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 149 361 0 27 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 109 135 0 26 Oct 2021
Transportation Scenario Planning with Graph Neural Networks Ana Alice Peregrino S. Pradhan Zhicheng Liu Nivan Ferreira Fabio Miranda AI4TS 111 2 0 25 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 69 83 0 25 Oct 2021
An attention-driven hierarchical multi-scale representation for visual recognition Zachary Wharton Chenglong Bao Asish Bera BDL 82 1 0 23 Oct 2021
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective Hengrui Zhang Zhongming Yu Guohao Dai Guyue Huang Yufei Ding Yuan Xie Yu Wang GNN 64 47 0 18 Oct 2021
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 58 22 0 18 Oct 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 142 55 0 16 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 148 162 0 14 Oct 2021
Embracing Structure in Data for Billion-Scale Semantic Product Search V. Lakshman C. Teo Xiaowen Chu Priyank Nigam Abhinandan Patni Pooja Maknikar S.V.N. Vishwanathan DML 48 6 0 12 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 79 9 0 10 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 64 33 0 09 Oct 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks Huance Xu Chao Huang Yong-mei Xu Lianghao Xia Hao Xing Dawei Yin 82 34 0 08 Oct 2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation Chao Huang Jiahui Chen Lianghao Xia Yong-mei Xu Peng Dai Yanqing Chen Liefeng Bo Jiashu Zhao Xiangji Huang 191 98 0 08 Oct 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation Chao Huang Huance Xu Yong-mei Xu Peng Dai Lianghao Xia Mengyin Lu Liefeng Bo Hao Xing Xiaoping Lai Yanfang Ye 85 174 0 08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 118 90 0 08 Oct 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation Chao Huang 119 32 0 07 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance Taige Zhao Xiangyu Song Jianxin Li Wei Luo Imran Razzak GNN 60 9 0 06 Oct 2021
Space-Time Graph Neural Networks Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro AI4TS 66 18 0 06 Oct 2021
Attentive Walk-Aggregating Graph Neural Networks M. F. Demirel Shengchao Liu Siddhant Garg Zhenmei Shi Yingyu Liang 131 10 0 06 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 110 37 0 03 Oct 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 82 12 0 28 Sep 2021
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation Yiyu Liu Qian Liu Yu Tian Changping Wang Yanan Niu Yang Song Chenliang Li 96 53 0 28 Sep 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors Zhengyi Wang Zhongkai Hao Ziqiao Wang Hang Su Jun Zhu AAML GNN 83 18 0 27 Sep 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 103 165 0 26 Sep 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 74 5 0 26 Sep 2021
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation Zeyuan Chen Wei Zhang Junchi Yan Gang Wang Jianyong Wang AI4TS 98 25 0 24 Sep 2021
Context-aware Tree-based Deep Model for Recommender Systems Daqing Chang Jintao Liu Xinhang Li Han Li Ziru Xu Xiaoqiang Zhu 57 3 0 22 Sep 2021
Graph Neural Netwrok with Interaction Pattern for Group Recommendation Bo Wang Yuheng Lu 21 1 0 21 Sep 2021
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case Marco Grassia Manlio De Domenico G. Mangioni AI4CE 96 14 0 21 Sep 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 63 24 0 21 Sep 2021
Grouping Search Results with Product Graphs in E-commerce Platforms Suhas Ranganath Shibsankar Das Sanjay Thilaivasan Shipra Agarwal Varun Shrivastava 26 0 0 20 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 90 29 0 18 Sep 2021
Efficient Scaling of Dynamic Graph Neural Networks Venkatesan T. Chakaravarthy Shivmaran S. Pandian S. Raje Yogish Sabharwal Toyotaro Suzumura Shashanka Ubaru GNN 66 25 0 16 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 130 94 0 08 Sep 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation Yankai Chen Yaming Yang Yujing Wang Jing Bai Xiangchen Song Irwin King 65 58 0 05 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 97 173 0 02 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation Hao Tang Guoshuai Zhao Yuxia Wu Xueming Qian 92 33 0 01 Sep 2021