Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,260 papers shown

Title
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation Yungi Kim Taeri Kim Won-Yong Shin Sang-Wook Kim 33 10 0 15 Dec 2023
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph Silu He Qinyao Luo Xinsha Fu Ling Zhao Ronghua Du Haifeng Li 39 8 0 14 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 35 37 0 14 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 23 4 0 13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report) Ruoming Jin Dong Li 29 0 0 13 Dec 2023
Exploring Graph Based Approaches for Author Name Disambiguation Chetanya Rastogi P. Agarwal S. Singh 18 4 0 12 Dec 2023
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 34 1 0 11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and Future Directions Zhaoxuan Tan Meng Jiang 28 8 0 11 Dec 2023
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation Nimesh Agrawal Anuj Kumar Sirohi Jayadeva Sandeep Kumar 27 17 0 10 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 19 2 0 10 Dec 2023
Factorized Explainer for Graph Neural Networks Rundong Huang Farhad Shirani Dongsheng Luo 47 8 0 09 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction Yakun Wang Binbin Hu Shuo Yang Meiqi Zhu Qing Cui Qiyang Zhang Jun Zhou Guo Ye Huimei He 27 0 0 08 Dec 2023
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu Kaidi Cao Bruno Ribeiro James Zou J. Leskovec OOD 16 3 0 07 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 43 5 0 05 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 36 6 0 03 Dec 2023
Knowledge Graph Driven Recommendation System Algorithm Chaoyang Zhang Yanan Li Shen Chen Siwei Fan Wei Li 18 3 0 01 Dec 2023
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems Hongjian Gu Yaochen Hu Yingxue Zhang CML BDL 29 0 0 30 Nov 2023
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs Hesham Mostafa Adam Grabowski Md Asadullah Turja J. Cerviño Alejandro Ribeiro N. Himayat GNN 34 1 0 29 Nov 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 31 6 0 29 Nov 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation Yuhao Yang Lianghao Xia Da Luo Kangyi Lin Chao Huang AI4CE 45 15 0 28 Nov 2023
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments Xin Ai Qiange Wang Chunyu Cao Yanfeng Zhang Chaoyi Chen Hao Yuan Yu Gu Ge Yu GNN 44 5 0 22 Nov 2023
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs Thien Le Luana Ruiz Stefanie Jegelka 29 0 0 17 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution Systems Huy Truong Andres Tello Alexander Lazovik Victoria Degeler 37 8 0 17 Nov 2023
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Wei Zhang Dai Li Chen Liang Fang Zhou Zhongke Zhang ... Huayu Li Yunnan Wu Zhan Shu Mindi Yuan Sri Reddy 32 7 0 16 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 27 6 0 12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 30 0 0 10 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 28 3 0 09 Nov 2023
Predicting Properties of Nodes via Community-Aware Features B. Kamiński P. Prałat F. Théberge Sebastian Zajac 40 1 0 08 Nov 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 35 0 0 06 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 33 11 0 05 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
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation Dang Minh Nguyen Chenfei Wang Yan Shen Yifan Zeng GNN 10 6 0 30 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 44 11 0 28 Oct 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao Haobo Wang Ying Jin Lei Feng Gang Chen Fei Huang Junbo Zhao 32 15 0 26 Oct 2023
Graph Neural Networks with a Distribution of Parametrized Graphs See Hian Lee Feng Ji Kelin Xia Wee Peng Tay 47 0 0 25 Oct 2023
URL-BERT: Training Webpage Representations via Social Media Engagements A. Qamar Chetan Verma Ahmed El-Kishky Sumit Binnani Sneha Mehta Taylor Berg-Kirkpatrick 20 0 0 25 Oct 2023
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation Anshul Ahluwalia Rohit Das Payman Behnam Alind Khare Pan Li Alexey Tumanov 32 2 0 24 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for Recommendation Leiqian Han Hui Yan Zhicheng Qiao 18 1 0 24 Oct 2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution Noveen Sachdeva Lequn Wang Dawen Liang Nathan Kallus Julian McAuley OffRL 30 12 0 24 Oct 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Mouxiang Chen Zemin Liu Chenghao Liu Jundong Li Qiheng Mao Jianling Sun AAML 25 12 0 23 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 43 9 0 23 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
Knowledge Graph Context-Enhanced Diversified Recommendation Xiao-lin Liu Liangwei Yang Zhiwei Liu Mingdai Yang Chen Wang Hao Peng Philip S. Yu 36 4 0 20 Oct 2023
Cooperative Minibatching in Graph Neural Networks M. F. Balin Dominique LaSalle Ümit V. Çatalyürek GNN 25 1 0 19 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Haitian Jiang Renjie Liu Xiao Yan Zhenkun Cai Minjie Wang David Wipf Minjie Wang David Wipf GNN AI4CE 21 3 0 19 Oct 2023
LPFormer: An Adaptive Graph Transformer for Link Prediction Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang 38 7 0 17 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift An Zhang Wenchang Ma Jingnan Zheng Xiang Wang Tat-Seng Chua 26 20 0 16 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Sayan Ranu DD 26 14 0 14 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 17 38 0 13 Oct 2023