Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 608 papers shown

Title
Comprehensive Fair Meta-learned Recommender System Tianxin Wei Jingrui He FedML FaML OffRL 19 38 0 09 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN AI4CE 30 99 0 09 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu-Chiang Frank Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Tyler Derr 19 80 0 07 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer Lianghao Xia Chao Huang Yong-mei Xu Jiangsen Pei HAI 33 50 0 06 Jun 2022
An Unpooling Layer for Graph Generation Yi Guo Dongmian Zou Gilad Lerman 16 2 0 04 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 16 95 0 03 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 27 20 0 03 Jun 2022
Continuous Temporal Graph Networks for Event-Based Graph Data Jin Guo Zhen Han Zhou Su Jiliang Li Volker Tresp Yuyi Wang AI4CE 13 5 0 31 May 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 52 18 0 27 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 24 2 0 24 May 2022
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? Juanhui Li Harry Shomer Jiayu Ding Yiqi Wang Yao Ma Neil Shah Jiliang Tang Dawei Yin 37 12 0 21 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
Representation learning with function call graph transformations for malware open set recognition Jingyun Jia P. Chan 11 2 0 13 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 26 68 0 12 May 2022
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound Hongwei Jin Zishun Yu Xinhua Zhang 33 2 0 12 May 2022
LPGNet: Link Private Graph Networks for Node Classification Aashish Kolluri Teodora Baluta Bryan Hooi Prateek Saxena 27 24 0 06 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services Fan Zhang Qiuying Peng Yu-Liang Wu Zheng Pan Rong Zeng David Lin Ye Qi 26 6 0 05 May 2022
Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chenliang Li 29 322 0 02 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 25 0 0 30 Apr 2022
GTNet: A Tree-Based Deep Graph Learning Architecture Nan Wu Chaofan Wang 13 5 0 27 Apr 2022
Network Topology Optimization via Deep Reinforcement Learning Zhuoran Li Xing Wang L. Pan Lin Zhu Zhendong Wang Junlan Feng Chao Deng Longbo Huang 18 12 0 19 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 31 132 0 18 Apr 2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data Di Wu Peng Zhang Yi He Xin Luo 6 1 0 16 Apr 2022
Causal Disentanglement with Network Information for Debiased Recommendations Paras Sheth Ruocheng Guo Lu Cheng Huan Liu K. S. Candan CML 16 17 0 14 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 24 6 0 07 Apr 2022
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020 Zhen Xu Lanning Wei Huan Zhao Rex Ying Quanming Yao Wei-Wei Tu Isabelle M Guyon AI4CE 20 0 0 06 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 13 50 0 30 Mar 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach Jiawei Sun Ruoxin Chen Jie Li Chentao Wu Yue Ding Junchi Yan 34 0 0 24 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 30 18 0 17 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang M. Pagnucco Yang Song 26 31 0 17 Mar 2022
SoK: Differential Privacy on Graph-Structured Data Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis 27 14 0 17 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 27 2 0 14 Mar 2022
Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning Weidong Cao M. Benosman Xuan Zhang Rui Ma 9 14 0 26 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction Fang Da Yu Zhang GNN 27 27 0 23 Feb 2022
Exploring Edge Disentanglement for Node Classification Tianxiang Zhao Xiang Zhang Suhang Wang 35 35 0 23 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 13 2 0 18 Feb 2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network Tianyu Zhao Cheng Yang Yibo Li Quan Gan Zhenyi Wang Fengqi Liang Huan Zhao Yingxia Shao Xiao Wang Chuan Shi 21 36 0 18 Feb 2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation Wei Wei Chao Huang Lianghao Xia Yong-mei Xu Jiashu Zhao Dawei Yin 31 160 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 43 25 0 16 Feb 2022
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation Jamie Cui Chaochao Chen Lingjuan Lyu Carl Yang Li Wang 18 34 0 15 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 36 12 0 10 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 36 25 0 07 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 30 237 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 16 36 0 07 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 47 18 0 05 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 24 25 0 04 Feb 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs Hongwei Jin Xun Chen 25 9 0 01 Feb 2022