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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,342 papers shown

Title
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou Jianxin Ma Jianwei Zhang Jingren Zhou Hongxia Yang 574 158 0 20 May 2020
Controllable Multi-Interest Framework for Recommendation Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang Jie Tang 190 328 0 19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Hanyu Wang Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Shucheng Zhou Qing Li MLAU AAML 189 86 0 17 May 2020
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection L. Zhong Juan Cao Qiang Sheng Junbo Guo Ziang Wang 124 25 0 16 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 252 286 0 13 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu AIFin AI4TS 213 62 0 11 May 2020
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems Qiaoan Chen Hao Gu Lingling Yi Yishi Lin Peng He Chuan Chen Yangqiu Song GNN AI4TS 78 0 0 09 May 2020
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 176 11 0 08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 289 323 0 07 May 2020
Bundle Recommendation with Graph Convolutional Networks Jianxin Chang Chen Gao Xiangnan He Yong Li Depeng Jin GNN 105 121 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on GraphsNeural Information Processing Systems (NeurIPS), 2020 Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 700 3,197 0 02 May 2020
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering Shaowen Peng Tsunenori Mine 108 8 0 30 Apr 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation Zhongyi Han B. Wei Yilong Yin Shuo Li MedIm 141 48 0 28 Apr 2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems Dai Hoang Tran Quan Z. Sheng W. Zhang S. Hamad Munazza Zaib Nguyen H. Tran Lina Yao N. Khoa 107 8 0 28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 368 440 0 23 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 206 96 0 22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural NetworksNeurocomputing (Neurocomputing), 2020 Chaojie Ji Ruxin Wang Hongyan Wu 224 9 0 21 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive RecommendationIEEE International Joint Conference on Neural Network (IJCNN), 2020 Xiaocong Chen Chaoran Huang Lina Yao Xianzhi Wang Wei Liu Wenjie Zhang 189 41 0 17 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Yu Chen Lingfei Wu Mohammed J Zaki 260 61 0 13 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised Classification Rahul Ragesh Sundararajan Sellamanickam Vijay Lingam Arun Shankar Iyer GNN 114 2 0 08 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective Manqing Dong Feng Yuan Lina Yao Xianzhi Wang Xiwei Xu Liming Zhu 227 8 0 08 Apr 2020
Graph Enhanced Representation Learning for News RecommendationThe Web Conference (WWW), 2020 Suyu Ge Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang AI4TS 149 134 0 31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation LearningInternational Conference on Web and Social Media (ICWSM), 2020 Zekarias T. Kefato Sarunas Girdzijauskas 90 7 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Yuning You Tianlong Chen Zinan Lin Yang Shen GNN 467 88 0 30 Mar 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey Y. Gao Yifan Li Yu Lin Hang Gao Latifur Khan 148 55 0 25 Mar 2020
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In HealthcareAdvanced Intelligent Systems (Adv. Intell. Syst.), 2020 David C. Higgins V. Madai 100 78 0 23 Mar 2020
Multi-Label Text Classification using Attention-based Graph Neural NetworkInternational Conference on Agents and Artificial Intelligence (ICAART), 2020 Ankit Pal M. Selvakumar Malaikannan Sankarasubbu 248 87 0 22 Mar 2020
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks S. Ghafari 91 2 0 21 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 631 191 0 09 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature InteractionsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 150 10 0 05 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender SystemsThe Web Conference (WWW), 2020 Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou Helen Zhou 216 104 0 04 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao Song Sanjeev Arora Keqin Li MLT 135 20 0 04 Mar 2020
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023 Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 1.2K 1,090 0 02 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks Lumin Yang Jiajie Zhuang Hongbo Fu Xiangzhi Wei Kun Zhou Youyi Zheng 217 32 0 02 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 135 18 0 28 Feb 2020
Advances in Collaborative Filtering and Ranking Liwei Wu 128 7 0 27 Feb 2020
Dual Graph Representation Learning Huiling Zhu Xin Luo Hankui Zhuo GNN 82 0 0 25 Feb 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution NetworkIEEE International Conference on Data Engineering (ICDE), 2020 Yuanyuan Jin Wei Zhang Xiangnan He Xinyu Wang Xiao-le Wang 148 63 0 20 Feb 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 184 26 0 19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 180 44 0 19 Feb 2020
Inductive Representation Learning on Temporal GraphsInternational Conference on Learning Representations (ICLR), 2020 Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 208 784 0 19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural NetworkIEEE International Joint Conference on Neural Network (IJCNN), 2020 Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 210 37 0 17 Feb 2020
Vertex-reinforced Random Walk for Network EmbeddingSDM (SDM), 2020 Wenyi Xiao Huan Zhao V. Zheng Yangqiu Song 3DV 97 8 0 11 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 277 145 0 11 Feb 2020
Random Features Strengthen Graph Neural NetworksSDM (SDM), 2020 Ryoma Sato M. Yamada H. Kashima GNN AAML 303 261 0 08 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 649 4,494 0 06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 310 6 0 05 Feb 2020
Graph Convolution Machine for Context-aware Recommender System Jiancan Wu Xiangnan He Xiang Wang Qifan Wang Weijia Chen Jianxun Lian Xing Xie GNN 185 77 0 30 Jan 2020
Which way? Direction-Aware Attributed Graph Embedding Zekarias T. Kefato Nasrullah Sheikh A. Montresor 3DV 71 3 0 30 Jan 2020
Graph Neighborhood Attentive Pooling Zekarias T. Kefato Sarunas Girdzijauskas GNN 131 6 0 28 Jan 2020

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,342 papers shown

Title
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou Jianxin Ma Jianwei Zhang Jingren Zhou Hongxia Yang 574 158 0 20 May 2020
Controllable Multi-Interest Framework for Recommendation Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang Jie Tang 190 328 0 19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Hanyu Wang Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Shucheng Zhou Qing Li MLAU AAML 189 86 0 17 May 2020
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection L. Zhong Juan Cao Qiang Sheng Junbo Guo Ziang Wang 124 25 0 16 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 252 286 0 13 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu AIFin AI4TS 213 62 0 11 May 2020
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems Qiaoan Chen Hao Gu Lingling Yi Yishi Lin Peng He Chuan Chen Yangqiu Song GNN AI4TS 78 0 0 09 May 2020
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 176 11 0 08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 289 323 0 07 May 2020
Bundle Recommendation with Graph Convolutional Networks Jianxin Chang Chen Gao Xiangnan He Yong Li Depeng Jin GNN 105 121 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on GraphsNeural Information Processing Systems (NeurIPS), 2020 Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 700 3,197 0 02 May 2020
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering Shaowen Peng Tsunenori Mine 108 8 0 30 Apr 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation Zhongyi Han B. Wei Yilong Yin Shuo Li MedIm 141 48 0 28 Apr 2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems Dai Hoang Tran Quan Z. Sheng W. Zhang S. Hamad Munazza Zaib Nguyen H. Tran Lina Yao N. Khoa 107 8 0 28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 368 440 0 23 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 206 96 0 22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural NetworksNeurocomputing (Neurocomputing), 2020 Chaojie Ji Ruxin Wang Hongyan Wu 224 9 0 21 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive RecommendationIEEE International Joint Conference on Neural Network (IJCNN), 2020 Xiaocong Chen Chaoran Huang Lina Yao Xianzhi Wang Wei Liu Wenjie Zhang 189 41 0 17 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Yu Chen Lingfei Wu Mohammed J Zaki 260 61 0 13 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised Classification Rahul Ragesh Sundararajan Sellamanickam Vijay Lingam Arun Shankar Iyer GNN 114 2 0 08 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective Manqing Dong Feng Yuan Lina Yao Xianzhi Wang Xiwei Xu Liming Zhu 227 8 0 08 Apr 2020
Graph Enhanced Representation Learning for News RecommendationThe Web Conference (WWW), 2020 Suyu Ge Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang AI4TS 149 134 0 31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation LearningInternational Conference on Web and Social Media (ICWSM), 2020 Zekarias T. Kefato Sarunas Girdzijauskas 90 7 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Yuning You Tianlong Chen Zinan Lin Yang Shen GNN 467 88 0 30 Mar 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey Y. Gao Yifan Li Yu Lin Hang Gao Latifur Khan 148 55 0 25 Mar 2020
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In HealthcareAdvanced Intelligent Systems (Adv. Intell. Syst.), 2020 David C. Higgins V. Madai 100 78 0 23 Mar 2020
Multi-Label Text Classification using Attention-based Graph Neural NetworkInternational Conference on Agents and Artificial Intelligence (ICAART), 2020 Ankit Pal M. Selvakumar Malaikannan Sankarasubbu 248 87 0 22 Mar 2020
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks S. Ghafari 91 2 0 21 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 631 191 0 09 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature InteractionsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 150 10 0 05 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender SystemsThe Web Conference (WWW), 2020 Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou Helen Zhou 216 104 0 04 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao Song Sanjeev Arora Keqin Li MLT 135 20 0 04 Mar 2020
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023 Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 1.2K 1,090 0 02 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks Lumin Yang Jiajie Zhuang Hongbo Fu Xiangzhi Wei Kun Zhou Youyi Zheng 217 32 0 02 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 135 18 0 28 Feb 2020
Advances in Collaborative Filtering and Ranking Liwei Wu 128 7 0 27 Feb 2020
Dual Graph Representation Learning Huiling Zhu Xin Luo Hankui Zhuo GNN 82 0 0 25 Feb 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution NetworkIEEE International Conference on Data Engineering (ICDE), 2020 Yuanyuan Jin Wei Zhang Xiangnan He Xinyu Wang Xiao-le Wang 148 63 0 20 Feb 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 184 26 0 19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 180 44 0 19 Feb 2020
Inductive Representation Learning on Temporal GraphsInternational Conference on Learning Representations (ICLR), 2020 Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 208 784 0 19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural NetworkIEEE International Joint Conference on Neural Network (IJCNN), 2020 Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 210 37 0 17 Feb 2020
Vertex-reinforced Random Walk for Network EmbeddingSDM (SDM), 2020 Wenyi Xiao Huan Zhao V. Zheng Yangqiu Song 3DV 97 8 0 11 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 277 145 0 11 Feb 2020
Random Features Strengthen Graph Neural NetworksSDM (SDM), 2020 Ryoma Sato M. Yamada H. Kashima GNN AAML 303 261 0 08 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 649 4,494 0 06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 310 6 0 05 Feb 2020
Graph Convolution Machine for Context-aware Recommender System Jiancan Wu Xiangnan He Xiang Wang Qifan Wang Weijia Chen Jianxun Lian Xing Xie GNN 185 77 0 30 Jan 2020
Which way? Direction-Aware Attributed Graph Embedding Zekarias T. Kefato Nasrullah Sheikh A. Montresor 3DV 71 3 0 30 Jan 2020
Graph Neighborhood Attentive Pooling Zekarias T. Kefato Sarunas Girdzijauskas GNN 131 6 0 28 Jan 2020