Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 608 papers shown

Title
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 23 8 0 24 Jul 2023
Addressing the Impact of Localized Training Data in Graph Neural Networks S. Akansha 35 3 0 24 Jul 2023
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs Ahmad Naser Eddin Jacopo Bono David Oliveira Aparício Hugo Ferreira João Tiago Ascensão Pedro Ribeiro P. Bizarro 35 2 0 17 Jul 2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task Jiaxing Zhang Zhuomin Chen Hao Mei Dongsheng Luo Hua Wei 42 8 0 15 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 28 0 0 11 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 63 309 0 05 Jul 2023
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services Liekang Zeng Xu Chen Peng Huang Ke Luo Xiaoxi Zhang Zhi Zhou GNN 28 6 0 04 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation Xinhang Li Xiang Zhao Yejing Wang Yu Liu Yong Li Cheng Long Yong Zhang Chunxiao Xing 11 0 0 03 Jul 2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses Jeongmin Brian Park Vikram Sharma Mailthody Zaid Qureshi Wen-mei W. Hwu GNN 29 11 0 28 Jun 2023
Higher-order Graph Attention Network for Stock Selection with Joint Analysis Yang Qiao Yiping Xia Xiang Li Zheng Li Yan Ge AIFin 8 1 0 27 Jun 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation Yuwei Cao Liangwei Yang Chen Wang Zhiwei Liu Hao Peng Chenyu You Philip S. Yu 18 21 0 26 Jun 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 31 0 0 23 Jun 2023
PathMLP: Smooth Path Towards High-order Homophily Chenxuan Xie Jiajun Zhou Sheng Gong Jiacheng Wan Jiaxu Qian Shanqing Yu Qi Xuan Xiaoniu Yang 21 5 0 23 Jun 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou Chenyu Zhou Xuan Li Jiangchao Yao Quanming Yao Bo Han AAML 37 17 0 15 Jun 2023
Hyperbolic Graph Diffusion Model Lingfeng Wen Xuan Tang Mingjie Ouyang Xiangxiang Shen Jian Yang Daxin Zhu Mingsong Chen Xian Wei 37 2 0 13 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 22 9 0 09 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 30 5 0 08 Jun 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 31 43 0 08 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations Eli J. Laird Ayesh Madushanka E. Kraka Corey Clark 19 1 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 37 6 0 07 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio' GNN 32 7 0 06 Jun 2023
User Behavior Simulation with Large Language Model based Agents Lei Wang Jingsen Zhang Hao-ran Yang Zhiyuan Chen Jiakai Tang ... Wayne Xin Zhao Jun Xu Zhicheng Dou Jun Wang Ji-Rong Wen LM&Ro LLMAG 22 39 0 05 Jun 2023
Transforming to Yoked Neural Networks to Improve ANN Structure Xinshun Liu Yizhi Fang Yichao Jiang 28 0 0 03 Jun 2023
STUDY: Socially Aware Temporally Causal Decoder Recommender Systems Eltayeb Ahmed Diana Mincu Lauren Harrell Katherine A. Heller Subhrajit Roy 16 0 0 02 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao Zhikai Chen Wei Jin Haoyu Han Yao Ma Tong Zhao Neil Shah Jiliang Tang 30 32 0 02 Jun 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 19 6 0 01 Jun 2023
There is more to graphs than meets the eye: Learning universal features with self-supervision L. Das Sai Munikoti M. Halappanavar SSL OOD 25 1 0 31 May 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 36 1 0 27 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 27 6 0 25 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 45 23 0 23 May 2023
Instant Representation Learning for Recommendation over Large Dynamic Graphs Cheng Wu Chao-Hong Wang Jingcao Xu Ziwei Fang Tiankai Gu Changping Wang Yang Song Kai Zheng Xiaowei Wang Guorui Zhou AI4TS 32 6 0 22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 24 29 0 22 May 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 23 22 0 22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 21 4 0 22 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 16 1 0 21 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Luo Mai GNN 17 15 0 18 May 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework Lirong Wu Haitao Lin Yufei Huang Tianyu Fan Stan Z. Li 21 29 0 18 May 2023
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization Haohui Wang Baoyu Jing Kaize Ding Yada Zhu Wei Cheng Si Zhang Yonghui Fan Liqing Zhang Dawei Zhou 45 6 0 17 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 34 3 0 17 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 32 29 0 14 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten M. Borgwardt GNN 20 2 0 12 May 2023
Feature Expansion for Graph Neural Networks Jiaqi Sun Lin Zhang Guan-Hong Chen Anton van den Hengel Peng Xu Yujiu Yang GNN 22 13 0 10 May 2023
Turning Privacy-preserving Mechanisms against Federated Learning Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 19 15 0 09 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 28 6 0 04 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 18 1 0 25 Apr 2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning Weifan Wang Binbin Hu Zhicheng Peng Mingjie Zhong Qing Cui Zhongyi Liu Guannan Zhang Jun Zhou 13 3 0 25 Apr 2023
An Empirical Study of Realized GNN Expressiveness Yanbo Wang Muhan Zhang 42 10 0 16 Apr 2023
FairRec: Fairness Testing for Deep Recommender Systems Hui Guo Jinfeng Li Jingyi Wang Xiangyu Liu Donghai Hong Zehong Hu Rong Zhang Hui Xue 27 7 0 14 Apr 2023
Neural Multi-network Diffusion towards Social Recommendation Boxin Du Lihui Liu Jiejun Xu Fei Wang Hanghang Tong DiffM GNN 11 3 0 11 Apr 2023
Continual Graph Convolutional Network for Text Classification Tiandeng Wu Qijiong Liu Yinhao Cao yao. huang Xiao-Ming Wu Jiandong Ding GNN 21 10 0 09 Apr 2023