Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 607 papers shown

Title
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation Yuchang Zhu Jintang Li Liang Chen Zibin Zheng 41 9 0 29 Nov 2023
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation Siwei Liu Xi Wang Craig Macdonald I. Ounis 28 8 0 27 Nov 2023
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework Chunjing Gan Binbin Hu Bo Huang Tianyu Zhao Yingru Lin Wenliang Zhong Zhiqiang Zhang Jun Zhou Chuan Shi 24 1 0 23 Nov 2023
Evaluating Neighbor Explainability for Graph Neural Networks Oscar Llorente Rana Fawzy Jared Keown Michal Horemuz Péter Vaderna Sándor Laki Roland Kotroczó Rita Csoma János Márk Szalai-Gindl 14 0 0 14 Nov 2023
Untargeted Black-box Attacks for Social Recommendations Wenqi Fan Shijie Wang Xiao Wei Xiaowei Mei Qing Li MLAU AAML 24 2 0 13 Nov 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 17 0 0 12 Nov 2023
Generative Explanations for Graph Neural Network: Methods and Evaluations Jialin Chen Kenza Amara Junchi Yu Rex Ying 39 3 0 09 Nov 2023
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach Tuan Nguyen Hirotada Honda Takashi Sano Vinh-Tiep Nguyen Shugo Nakamura Tan-Minh Nguyen 30 4 0 06 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 21 0 0 03 Nov 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 36 10 0 28 Oct 2023
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance Donald Loveland Rajmonda Caceres 19 0 0 26 Oct 2023
Defense Against Model Extraction Attacks on Recommender Systems Sixiao Zhang Hongzhi Yin Hongxu Chen Cheng Long AAML 27 4 0 25 Oct 2023
Context-aware explainable recommendations over knowledge graphs Jinfeng Zhong E. Negre 29 1 0 24 Oct 2023
Robust Representation Learning for Unified Online Top-K Recommendation Minfang Lu Yuchen Jiang Huihui Dong Qi Li Ziru Xu ... Hao Hu Han Zhu Yuning Jiang Jian Xu Bo Zheng CML 23 0 0 24 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 29 0 0 23 Oct 2023
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh V. Chawla 26 18 0 23 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei-dong Jin Hui Liu 30 3 0 20 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 41 3 0 20 Oct 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 19 3 0 18 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 25 1 0 18 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 26 27 0 17 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 37 20 0 16 Oct 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 35 34 0 08 Oct 2023
Graph learning in robotics: a survey Francesca Pistilli Giuseppe Averta AI4CE GNN 26 7 0 06 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 31 13 0 01 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 47 0 0 29 Sep 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Zhengyuan Yang Levent Sagun Yizhou Sun 27 2 0 29 Sep 2023
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings Gregory Scafarto Madalina Ciortan Simon Tihon Quentin Ferre 15 2 0 28 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs Jiawen Wang Quan Chen Deze Zeng Zhuo Song Chen Chen Minyi Guo GNN 26 2 0 27 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 26 18 0 26 Sep 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao Xiao Luo Meng Xiao Hao Dong Yuanchun Zhou Hui Xiong OOD 69 22 0 19 Sep 2023
Bregman Graph Neural Network Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 13 4 0 12 Sep 2023
Promoting Fairness in GNNs: A Characterization of Stability Yaning Jia Chunhui Zhang AAML 20 0 0 07 Sep 2023
Spatial Graph Coarsening: Weather and Weekday Prediction with London's Bike-Sharing Service using GNN Yuta Sato Pak-Hei Lam Shruti Gupta Fareesah Hussain 13 0 0 30 Aug 2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation Dezhao Yang Jianghong Ma Shanshan Feng Haijun Zhang Zhao Zhang 18 0 0 30 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 26 3 0 29 Aug 2023
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 19 1 0 29 Aug 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 33 1 0 28 Aug 2023
Detecting Inactive Cyberwarriors from Online Forums Ruei-Yuan Wang Hung-Hsuan Chen 23 3 0 28 Aug 2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction Yuxi Liu Zhenhao Zhang S. Qin Flora D. Salim Antonio Jimeno Yepes Jun Shen Jiang Bian 22 2 0 24 Aug 2023
Cached Operator Reordering: A Unified View for Fast GNN Training Julia Bazinska Andrei Ivanov Tal Ben-Nun Nikoli Dryden Maciej Besta Siyuan Shen Torsten Hoefler GNN 22 3 0 23 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 42 24 0 18 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 30 3 0 18 Aug 2023
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Francesco Campi Lukas Gosch Thomas Wollschläger Yan Scholten Stephan Günnemann AAML 56 2 0 16 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 27 3 0 07 Aug 2023
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction Tao Zou Le Yu Leilei Sun Bo Du Deqing Wang Fuzhen Zhuang 13 8 0 04 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 32 13 0 04 Aug 2023
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding Yan Zheng Junpeng Wang Chin-Chia Michael Yeh Yujie Fan Huiyuan Chen Liang Wang Wei Zhang 20 2 0 02 Aug 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 34 2 0 25 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 20 8 0 24 Jul 2023