Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 607 papers shown

Title
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang Yuwen Wang Kaixuan Chen Tongya Zheng Yihe Zhou Zhenbang Xiao Ji Cao Mingli Song S. Liu AI4CE 44 1 0 01 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 37 0 0 25 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation Xu Guo Tong Zhang Fuyun Wang Xudong Wang X. Zhang Xin Liu Zhen Cui 35 0 0 23 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 69 3 0 18 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 53 0 0 17 Apr 2025
Generative Recommendation with Continuous-Token Diffusion Haohao Qu Wenqi Fan Shanru Lin DiffM 92 0 0 16 Apr 2025
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations Liangbo Ning Wenqi Fan Qing Li AAML SILM 48 0 0 15 Apr 2025
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering Y. Zhang Yiwen Zhang Yi-cui Zhang Lei Sang Yun-Feng Yang 29 0 0 14 Apr 2025
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning Yonghui Yang Le Wu Yuxin Liao Zhuangzhuang He Pengyang Shao Richang Hong Meng Wang 34 0 0 14 Apr 2025
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent Liang-bo Ning Shijie Wang Wenqi Fan Qing Li Xin Xu Hao Chen Feiran Huang AAML 28 16 0 13 Apr 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences Qiwei Wang Dandan Lin Wenqing Lin Ziming Wu OffRL 25 0 0 13 Apr 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training J. Liu Xiaoqian Jiang X. Li Bohan Zhang J. Zhang 32 0 0 12 Apr 2025
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations Zihuai Zhao Wenqi Fan Yao Wu Qing Li 75 1 0 05 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 43 0 0 01 Apr 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks Arthur M. Faria Ignacio F. Graña Savvas Varsamopoulos GNN 62 0 0 31 Mar 2025
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks Y. Lai Yulin Zhu Y. Sun Y. Wu Bin Xiao Gaolei Li Jianhua Li Kai Zhou AAML 41 0 0 29 Mar 2025
$β$ -GNN: A Robust Ensemble Approach Against Graph Structure Perturbation Haci Ismail Aslan Philipp Wiesner Ping Xiong O. Kao AAML 69 0 0 26 Mar 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Tao Luo Niangjun Chen Bo Wang 32 0 0 26 Mar 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 65 0 0 24 Mar 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling Yongqi Huang Jitao Zhao Dongxiao He Di Jin Yuxiao Huang Zhen Wang 39 0 0 23 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 68 0 0 23 Mar 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning Yilong Wang J. Zhang Tianxiang Zhao Suhang Wang AAML 39 0 0 23 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang OffRL 46 0 0 21 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 72 0 0 19 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 65 0 0 13 Mar 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 110 5 0 13 Mar 2025
PyGDA: A Python Library for Graph Domain Adaptation Zhen Zhang Meihan Liu Bingsheng He AI4CE OOD 49 0 0 13 Mar 2025
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs J. Huang Shijie Wang Liang-bo Ning Wenqi Fan S. Wang Dawei Yin Qing Li 66 2 0 12 Mar 2025
ConstellationNet: Reinventing Spatial Clustering through GNNs Aidan Gao Junhong Lin GNN 47 0 0 06 Mar 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation Weizhi Zhang Liangwei Yang Wooseong Yang Henry Peng Zou Yuqing Liu Ke Xu Sourav Medya Philip S. Yu 59 2 0 03 Mar 2025
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 52 1 0 27 Feb 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems Saman Forouzandeh P. Krivitsky Rohitash Chandra 57 0 0 26 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 60 0 0 24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 98 2 0 24 Feb 2025
Scalable Graph Condensation with Evolving Capabilities Shengbo Gong Mohammad Hashemi Juntong Ni Carl Yang Wei-dong Jin 73 2 0 24 Feb 2025
Category-free Out-of-Distribution Node Detection with Feature Resonance Shenzhi Yang Junbo Zhao Shouqing Yang Yixuan Li Dingyu Yang Xiaofang Zhang Haobo Wang OODD 51 0 0 22 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation Lei Li Xiao Zhou 41 0 0 17 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 111 0 0 13 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 104 2 0 05 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 74 0 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 78 0 0 28 Jan 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong Yuan Fang Hady W. Lauw 37 2 0 21 Jan 2025
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation Zhiwei Yang Yucong Meng Kexue Fu Shuo Wang Zhijian Song 90 1 0 20 Jan 2025
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation Haohao Qu Yifeng Zhang Liangbo Ning Wenqi Fan Qing Li Mamba 96 7 0 17 Jan 2025
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation Jinkun Han Wei Li Xhipeng Cai Y. Li 26 4 0 05 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang C. Huang 41 0 0 04 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 92 1 0 03 Jan 2025