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
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi Jian Pei BDL 301 560 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 488 1,772 0 04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 242 32 0 03 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 233 643 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 232 268 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 438 396 0 03 Jul 2020
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks Yusi Zhang Chuanjie Liu Angen Luo Hui Xue Xuan Shan Y. Luo Yiqian Xia Yuanchi Yan Haidong Wang 174 6 0 03 Jul 2020
Graph Neural Networks Including Sparse Interpretability Chris Lin Gerald J. Sun K. Bulusu J. Dry Marylens Hernandez 116 12 0 30 Jun 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 333 349 0 30 Jun 2020
Approximating Network Centrality Measures Using Node Embedding and Machine Learning Matheus R. F. Mendonça André Barreto A. Ziviani GNN 183 25 0 29 Jun 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Shucheng Zhou Charu C. Aggarwal P. Mitra Suhang Wang 156 3 0 28 Jun 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu Zheng Qin GNN 286 99 0 28 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Luke Huan SSL AI4CE 288 635 0 27 Jun 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 152 4 0 26 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer CaseInternational Conference on Machine Learning (ICML), 2020 Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong MLT AI4CE 175 35 0 25 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2020 Weilin Cong R. Forsati M. Kandemir M. Mahdavi 284 95 0 24 Jun 2020
Non-Parametric Graph Learning for Bayesian Graph Neural NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2020 Soumyasundar Pal Saber Malekmohammadi Florence Regol Yingxue Zhang Yishi Xu Mark Coates 138 13 0 23 Jun 2020
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous ViewAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Shen Wang Jibing Gong Jinlong Wang Wenzheng Feng Hao Peng Jie Tang Philip S. Yu AI4Ed HAI 122 148 0 23 Jun 2020
Graph Neural Networks for Node-Level Predictions Christoph Heindl GNN AI4CE 68 1 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 255 163 0 22 Jun 2020
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 92 33 0 22 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 464 39 0 18 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 467 831 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 626 15 0 18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 466 1,051 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 322 503 0 16 Jun 2020
Graph Meta Learning via Local SubgraphsNeural Information Processing Systems (NeurIPS), 2020 Kexin Huang Marinka Zitnik 307 182 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 534 483 0 13 Jun 2020
Knowledge Embedding Based Graph Convolutional Network Donghan Yu Yiming Yang Ruohong Zhang Yuexin Wu GNN 347 13 0 12 Jun 2020
Attention improves concentration when learning node embeddings Matthew Dippel Adam Kiezun Tanay Mehta Ravi Sundaram S. Thirumalai Akshar Varma GNN 91 1 0 11 Jun 2020
Data Augmentation for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 358 462 0 11 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User BehaviorsKnowledge Discovery and Data Mining (KDD), 2020 Ziyu Zhao Meng Jiang Munira Syed Oliver Conway Vishal Juneja Sriram Subramanian Nitesh Chawla AI4TS 103 40 0 11 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Zhan Gao Fernando Gama Alejandro Ribeiro GNN 180 10 0 11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender SystemInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 276 16 0 10 Jun 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social AppsKnowledge Discovery and Data Mining (KDD), 2020 Xianfeng Tang Yozen Liu Neil Shah Xiaolin Shi P. Mitra Suhang Wang AI4TS 293 47 0 10 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need? Sang-yong Yoo Young-Seok Kim Kang Lee Kuhwan Jeong Junhwi Choi Hoshik Lee Y. S. Choi GNN 169 11 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 211 142 0 09 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 342 48 0 08 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Junxiong Zhu Yanghua Li Peng He Wen-yuan Gao Wenjun Xu GNN 101 1 0 07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 132 10 0 06 Jun 2020
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems Yizi Zhang Meimei Liu 160 0 0 05 Jun 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 129 1 0 04 Jun 2020
Graph Learning with Loss-Guided Training Eliav Buchnik E. Cohen 114 2 0 31 May 2020
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUsACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2020 Behnam Pourghassemi Chenghao Zhang Joo Hwan Lee Aparna Chandramowlishwaran AI4CE BDL 111 12 0 28 May 2020
MVIN: Learning Multiview Items for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Chang-You Tai Meng-Ru Wu Yun-Wei Chu Shao-Yu Chu Lun-Wei Ku 141 53 0 26 May 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network ApproachAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Le Wu Yonghui Yang Kun Zhang Richang Hong Yanjie Fu Meng Wang GNN 91 114 0 25 May 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu GNN AI4TS AI4CE 402 222 0 24 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 373 458 0 22 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Shucheng Zhou OOD AAML 261 771 0 20 May 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems Menghan Wang Yujie Lin Guli Lin Keping Yang Xiao-ming Wu AI4TS 3DV 213 87 0 20 May 2020