Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 608 papers shown

Title
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering Zhiying Xu Francis Y. Yan Rachee Singh Justin T. Chiu Alexander M. Rush Minlan Yu 12 44 0 25 Oct 2022
Recommendation with User Active Disclosing Willingness Lei Wang Xu Chen Quanyu Dai Zhenhua Dong 11 2 0 25 Oct 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 24 6 0 25 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs Taha Tekdogan Serkan Göktas Ayse Yilmazer-Metin 28 0 0 20 Oct 2022
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation Tien-Cuong Bui Van-Duc Le Wen-Syan Li S. Cha 23 3 0 20 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 30 14 0 17 Oct 2022
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 33 24 0 15 Oct 2022
Self-Distillation for Unsupervised 3D Domain Adaptation Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 3DPC 17 15 0 15 Oct 2022
Characterizing the Influence of Graph Elements Zizhang Chen Peizhao Li Hongfu Liu Pengyu Hong TDI 16 19 0 14 Oct 2022
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach Xiaolong Fan Maoguo Gong Yue Wu Mingyang Zhang Hao Li Xiangming Jiang 16 0 0 11 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 21 34 0 05 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version) Yuting Feng Bogdan Cautis GNN AI4TS 28 3 0 04 Oct 2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation Yuecen Wei Xingcheng Fu Qingyun Sun Hao Peng Jia Wu Jinyan Wang Xianxian Li 21 13 0 02 Oct 2022
Convolutional Neural Networks on Manifolds: From Graphs and Back Zhiyang Wang Luana Ruiz Alejandro Ribeiro 3DPC GNN 40 14 0 01 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 27 1 0 30 Sep 2022
Efficient Graph based Recommender System with Weighted Averaging of Messages Faizan Ahemad 13 1 0 30 Sep 2022
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 32 38 0 29 Sep 2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics Zhiqiang Que Hongxiang Fan Marcus Loo He Li Michaela Blott M. Pierini A. Tapper Wayne Luk GNN 32 12 0 28 Sep 2022
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion Xiaodong Yi Shiwei Zhang Lansong Diao Chuan Wu Zhen Zheng Shiqing Fan Siyu Wang Jun Yang W. Lin 36 4 0 26 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 43 46 0 21 Sep 2022
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 144 32 0 16 Sep 2022
Ordinal Graph Gamma Belief Network for Social Recommender Systems Dongsheng Wang Chaojie Wang Bo Chen Mingyuan Zhou CML BDL 11 0 0 12 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 29 4 0 02 Sep 2022
Heterogeneous Graph Tree Networks Nan Wu Chaofan Wang 19 0 0 01 Sep 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H. Chen Yunqi Li He Zhu Yongfeng Zhang 39 5 0 23 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 36 20 0 21 Aug 2022
Disentangled Contrastive Learning for Social Recommendation Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Jiaheng Zhang 32 67 0 18 Aug 2022
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching Jianhang Zhu Rongpeng Li Guoru Ding Chan Wang Jianjun Wu Zhifeng Zhao Honggang Zhang GNN 14 13 0 18 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity Hongliang Chi Yao Ma SSL 39 3 0 13 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 30 21 0 03 Aug 2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks Mauro Conti Jiaxin Li S. Picek Jing Xu AAML 24 23 0 27 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 39 0 0 25 Jul 2022
Knowledge-enhanced Black-box Attacks for Recommendations Jingfan Chen Wenqi Fan Guanghui Zhu Xiangyu Zhao C. Yuan Qing Li Jiaming Ji MLAU AAML 32 50 0 21 Jul 2022
Enhancing Security Patch Identification by Capturing Structures in Commits Bozhi Wu Shangqing Liu Ruitao Feng Xiaofei Xie J. Siow Shang-Wei Lin 30 30 0 19 Jul 2022
Wasserstein Graph Distance Based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees Zhongxi Fang Jianming Huang Xun Su Hiroyuki Kasai 21 8 0 09 Jul 2022
Private Graph Extraction via Feature Explanations Iyiola E. Olatunji Mandeep Rathee Thorben Funke Megha Khosla AAML FAtt 27 11 0 29 Jun 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 48 32 0 29 Jun 2022
Analyzing Büchi Automata with Graph Neural Networks Christophe Stammet Prisca Dotti U. Ultes-Nitsche A. Fischer 15 1 0 20 Jun 2022
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network Boxin Du Changhe Yuan Fei-Yue Wang Hanghang Tong 22 1 0 19 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 23 11 0 19 Jun 2022
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning Namyong Park Ryan Rossi Nesreen Ahmed Christos Faloutsos 27 7 0 18 Jun 2022
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection Yulin Zhu Y. Lai Kaifa Zhao Xi Luo Min Yuan Jun Wu Jian Ren Kai Zhou 35 1 0 16 Jun 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization Langzhang Liang Zenglin Xu Zixing Song Irwin King Yuan Qi Jieping Ye 32 21 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 31 98 0 15 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 30 42 0 15 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset Chunhui Ai Derui Wang Xuemi Yan Yang Xu Wenrui Xie Ziqiang Cao 21 0 0 15 Jun 2022
Fundamental Limits in Formal Verification of Message-Passing Neural Networks Marco Salzer M. Lange GNN 13 10 0 10 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 24 64 0 10 Jun 2022