Graph Neural Networks for Social Recommendation

19 February 2019

Papers citing "Graph Neural Networks for Social Recommendation"

50 / 607 papers shown

Title
Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark Xiaowei Qian Zhimeng Guo Jialiang Li Haitao Mao Bingheng Li Suhang Wang Yao Ma 42 4 0 09 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 42 12 0 08 Mar 2024
Jet Discrimination with Quantum Complete Graph Neural Network Yi-An Chen Kai-Feng Chen GNN 21 1 0 08 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter G. Klambauer Andreas Mayr 33 5 0 07 Mar 2024
Entropy Aware Message Passing in Graph Neural Networks Philipp Nazari Oliver Lemke Davide Guidobene Artiom Gesp 33 0 0 07 Mar 2024
Federated Recommendation via Hybrid Retrieval Augmented Generation Huimin Zeng Zhenrui Yue Qian Jiang Dong Wang FedML 52 12 0 07 Mar 2024
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation Li Wang Min Xu Quangui Zhang Yunxiao Shi Qiang Wu CML 28 2 0 06 Mar 2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives Simone Alberto Peirone Francesca Pistilli A. Alliegro Giuseppe Averta EgoV 29 4 0 05 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation Zhen Zhang Meihan Liu Anhui Wang Hongyang Chen Zhao Li Jiajun Bu Bingsheng He TTA 33 10 0 03 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 43 0 0 02 Mar 2024
Decoupled Subgraph Federated Learning Javad Aliakbari Johan Ostman Alexandre Graell i Amat FedML 24 0 0 29 Feb 2024
LocalGCL: Local-aware Contrastive Learning for Graphs Haojun Jiang Jiawei Sun Jie Li Chentao Wu SSL 25 0 0 27 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 37 24 0 21 Feb 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 32 3 0 21 Feb 2024
A unifying primary framework for quantum graph neural networks from quantum graph states Ammar Daskin GNN 38 1 0 20 Feb 2024
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks Anuj Kumar Sirohi Anjali Gupta Sayan Ranu Sandeep Kumar Amitabha Bagchi 32 1 0 20 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach Chengyi Ju Jiannong Cao Yu Yang Zhen-Qun Yang Ho Man Lee 13 0 0 19 Feb 2024
Clifford Group Equivariant Simplicial Message Passing Networks Cong Liu David Ruhe Floor Eijkelboom Patrick Forré 24 13 0 15 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 29 2 0 13 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 109 58 0 13 Feb 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 36 1 0 13 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He G. Reinert Lukasz Szpruch Samuel N. Cohen 48 3 0 10 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 45 5 0 09 Feb 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks Jiahua Rao Jiancong Xie Hanjing Lin Shuangjia Zheng Zhen Wang Yuedong Yang 21 0 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang Oleksii Tsepa Jun Ma Bo Wang Mamba 30 86 0 01 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 71 39 0 29 Jan 2024
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks Simi Job Xiaohui Tao Taotao Cai Lin Li Haoran Xie Jianming Yong CML 30 1 0 27 Jan 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 38 2 0 26 Jan 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 33 3 0 25 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 78 6 0 18 Jan 2024
Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms Zhongtian Ma Qiaosheng Zhang Zhen Wang 13 0 0 16 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 26 0 0 02 Jan 2024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 43 9 0 23 Dec 2023
Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Periods Behafarid Mohammad Jafari Xiao Luo Ali Jafari 16 0 0 21 Dec 2023
SimCalib: Graph Neural Network Calibration based on Similarity between Nodes Boshi Tang Zhiyong Wu Xixin Wu Qiaochu Huang Jun Chen Shunwei Lei Helen M. Meng 44 7 0 19 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning Qihang Ai Jianwu Zhou Haiyun Jiang Lemao Liu Shuming Shi 17 1 0 16 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local Expansion Andreas Bergmeister Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 21 12 0 14 Dec 2023
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, Yuwei Han Y. Lai Yulin Zhu Kai Zhou AAML 17 1 0 12 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 32 0 0 12 Dec 2023
A Novel Differentiable Loss Function for Unsupervised Graph Neural Networks in Graph Partitioning Vivek Chaudhary 11 0 0 11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and Future Directions Zhaoxuan Tan Meng-Long Jiang 18 8 0 11 Dec 2023
Factorized Explainer for Graph Neural Networks Rundong Huang Farhad Shirani Dongsheng Luo 42 8 0 09 Dec 2023
ALGNet: Attention Light Graph Memory Network for Medical Recommendation System Minh-Van Nguyen Duy-Thinh Nguyen Quoc-Huy Trinh Bac Le GNN 16 1 0 09 Dec 2023
Adaptive spectral graph wavelets for collaborative filtering Osama Alshareet A. B. Hamza AI4TS 14 2 0 05 Dec 2023
On the Initialization of Graph Neural Networks Jiahang Li Ya-Zhi Song Xiang Song David Wipf GNN 13 5 0 05 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 35 5 0 05 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 35 1 0 04 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 27 5 0 03 Dec 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs Yuchen Zhong Guangming Sheng Tianzuo Qin Minjie Wang Quan Gan Chuan Wu AI4CE GNN 29 6 0 29 Nov 2023