Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 608 papers shown

Title
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Feng Xia Mehdi Naseriparsa Francesco Osborne 22 240 0 24 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 25 0 0 17 Mar 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 28 68 0 14 Mar 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 32 0 0 27 Feb 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 33 8 0 27 Feb 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 16 3 0 22 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo Sungsoo Ahn DiffM 20 3 0 21 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 21 8 0 20 Feb 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 6 5 0 16 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning Shivam Barwey Varun Shankar V. Viswanathan R. Maulik AI4CE 25 22 0 13 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 42 140 0 08 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications Junfeng Fang Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 32 58 0 06 Feb 2023
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems Mengyan Wang Weihua Li Jingli Shi Shiqing Wu Quan-wei Bai 11 0 0 02 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lió F. Scarselli Andrea Passerini AI4CE 25 50 0 02 Feb 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 Feb 2023
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization Hengrui Zhang Shen Wang V. Ioannidis Soji Adeshina Jiani Zhang Xiao Qin Christos Faloutsos Da Zheng George Karypis Philip S. Yu 24 4 0 31 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 18 12 0 28 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 34 5 0 26 Jan 2023
TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams Yaohui Guo Jessie X. Yang Cong Shi 13 9 0 26 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 36 1 0 16 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Y. Choi Chong-Kwon Kim 26 3 0 12 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 31 7 0 07 Jan 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 24 10 0 07 Jan 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi Walid Masoudimansour Yingxue Zhang Jie Chuai Zhitang Chen Mark J. Coates Jianye Hao Yanhui Geng 46 1 0 29 Dec 2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 27 11 0 28 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 24 1 0 23 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 24 5 0 17 Dec 2022
A Survey of Graph Neural Networks for Social Recommender Systems Kartik Sharma Yeon-Chang Lee S. Nambi Aditya Salian Shlok Shah Sang-Wook Kim Srijan Kumar 34 79 0 08 Dec 2022
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors Ruixuan Wang Fred Lin Daniel Moore Sriram Sankar Xun Jiao 14 1 0 07 Dec 2022
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs Osman Ulger Julian Wiederer Mohsen Ghafoorian Vasileios Belagiannis Pascal Mettes 40 0 0 06 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification Jun-Liang Lin Yuan Wan Jingwen Xu X. Qi 28 0 0 04 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 27 63 0 28 Nov 2022
Unsupervised Opinion Summarisation in the Wasserstein Space Jiayu Song I. Bilal Adam Tsakalidis Rob Procter M. Liakata 20 2 0 27 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 42 21 0 25 Nov 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning Siyi Li Mingrui Zhang M. Piggott 20 28 0 24 Nov 2022
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 28 17 0 20 Nov 2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test Chang-Shu Liu Yuwen Yang Yue Ding Hongtao Lu 38 1 0 19 Nov 2022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Yuntian He Saket Gurukar Srinivas Parthasarathy FaML 21 2 0 17 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network Heng Chang Bingbing Xu Qi Cao Yige Yuan Huawei Shen 21 0 0 16 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 40 20 0 12 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 25 24 0 10 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 32 0 06 Nov 2022
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph Mingdai Yang Zhiwei Liu Liangwei Yang Xiao-lin Liu Chen Wang Hao Peng Philip S. Yu 9 11 0 02 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Bin Cui Lei Chen GNN AI4CE 11 56 0 01 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
Training Graph Neural Networks on Growing Stochastic Graphs J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 11 8 0 27 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 12 0 0 27 Oct 2022