Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,259 papers shown

Title
Generating Negative Samples for Multi-Modal Recommendation Yanbiao Ji Yue Ding Dan Luo Chang Liu Jing Tong Shaokai Wu Hongtao Lu 31 0 0 25 Jan 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 44 1 0 23 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 39 0 0 22 Jan 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 41 0 0 22 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 73 11 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 36 0 0 08 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang C. Huang 29 0 0 04 Jan 2025
Accelerating Hardware Verification with Graph Models Raghul Saravanan Sreenitha Kasarapu Sai Manoj Pudukotai Dinakarrao GNN 67 0 0 03 Jan 2025
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz Maziar Sanjabi Wenlong Jiang Xiaoling Zhai 63 3 0 03 Jan 2025
Efficient support ticket resolution using Knowledge Graphs Sherwin Varghese James Tian 25 0 0 03 Jan 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 33 1 0 29 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 109 15 0 19 Dec 2024
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Shuyin Xia Xinjun Ma Zhiyuan Liu Cheng Liu Sen Zhao G. Wang 69 2 0 18 Dec 2024
Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images Wenrui Li Zhe Yang Wei Han Hengyu Man Xingtao Wang Xiaopeng Fan 3DPC 76 0 0 12 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 80 1 0 10 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 94 0 0 10 Dec 2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs J. Liu Haitao Mao Zhikai Chen Wenqi Fan Mingxuan Ju Tong Zhao Neil Shah Jiliang Tang AI4CE 58 0 0 30 Nov 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 110 0 0 28 Nov 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers Chen Zhuang Peng Chen Xin Liu Rio Yokota Nikoli Dryden Toshio Endo Satoshi Matsuoka M. Wahib GNN 62 0 0 25 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 67 0 0 20 Nov 2024
Stealing Training Graphs from Graph Neural Networks M. Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 33 1 0 17 Nov 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Sejun Park Joo Young Park Hyunwoo Park AI4CE OOD 29 0 0 17 Nov 2024
Bitcoin Research with a Transaction Graph Dataset Hugo Schnoering Michalis Vazirgiannis GNN 28 0 0 15 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao Junyu Dong 19 0 0 02 Nov 2024
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks Xuyuan Liu Yinghao Cai Qihui Yang Yujun Yan 31 0 0 31 Oct 2024
Path-based summary explanations for graph recommenders -- extended version Danae Pla Karidi E. Pitoura 25 0 0 29 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 22 0 0 26 Oct 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning Dachun Sun Ruijie Wang Jinning Li Ruipeng Han Xinyi Liu You Lyu Tarek F. Abdelzaher 34 0 0 24 Oct 2024
Improving Pinterest Search Relevance Using Large Language Models Han Wang Mukuntha Narayanan Sundararaman Onur Gungor Yu Xu Krishna Kamath Rakesh Chalasani Kurchi Subhra Hazra Jinfeng Rao LRM 14 1 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 25 0 0 21 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 26 0 0 18 Oct 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification Bishal Thapaliya Anh Nguyen Yao Lu Tian Xie Igor Grudetskyi Fudong Lin Antonios Valkanas Jingyu Liu Deepayan Chakraborty Bilel Fehri 27 1 0 15 Oct 2024
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs Yi Sun Yuri M. Brovman 24 0 0 15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 35 0 0 13 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 18 1 0 12 Oct 2024
Identifying Money Laundering Subgraphs on the Blockchain Kiwhan Song Mohamed Ali Dhraief Muhua Xu Locke Cai Xuhao Chen Arvind Jie Chen 15 0 0 10 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 28 0 0 10 Oct 2024
Diversified and Adaptive Negative Sampling on Knowledge Graphs Ran Liu Zhongzhou Liu Xiaoli Li Hao Wu Yuan Fang 21 0 0 10 Oct 2024
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System F. I. S. Kevin Zhou Yaning Huang Dong Liang Dai Li Zhongke Zhang ... Emanuele Maccherani Taha Hayat John Guo Varna Puvvada Uladzimir Pashkevich 21 0 0 09 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 37 1 0 07 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 28 0 0 26 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 27 1 0 23 Sep 2024
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems Matthew Kolodner Mingxuan Ju Zihao Fan Tong Zhao Elham Ghazizadeh Yan Wu Neil Shah Yozen Liu 22 3 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 30 1 0 17 Sep 2024
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks Sitao Luan Qincheng Lu Chenqing Hua X. Wang Jiaqi Zhu Xiao-Wen Chang Guy Wolf Jian Tang 57 2 0 09 Sep 2024
Debiasing Graph Representation Learning based on Information Bottleneck Ziyi Zhang Mingxuan Ouyang Wanyu Lin Hao Lan Lei Yang FaML 28 0 0 02 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 24 0 0 01 Sep 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 26 0 0 29 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond Qingqing Long Yuchen Yan Peiyan Zhang Chen Fang Wentao Cui ... Shiyue Jiang Zheng Fang Chong Chen Xian-Sheng Hua Yuanchun Zhou AI4CE 34 0 0 26 Aug 2024
Applying graph neural network to SupplyGraph for supply chain network Kihwan Han 35 2 0 23 Aug 2024