Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,279 papers shown

Title
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks Jana Vatter Mykhaylo Zayats Marcos Martínez Galindo V. López R. Mayer Hans-Arno Jacobsen Hoang Thanh Lam GNN 84 0 0 27 Feb 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 108 0 0 25 Feb 2025
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation Ruochen Liu Hao-Heng Chen Yuanchen Bei Zhenhong Zhou Lijia Chen Qijie Shen Feiran Huang Fakhri Karray Shuaiqiang Wang VLM 137 0 0 24 Feb 2025
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations Wenyu Zhang Jie Luo Xinming Zhang Yuan Fang 86 0 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 73 0 0 24 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 113 0 0 21 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 105 1 0 20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 291 4 0 20 Feb 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Haoyang Li 94 2 0 20 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation Yuhan Li Xinni Zhang Linhao Luo Heng Chang Yuxiang Ren Irwin King Jiajian Li 122 8 0 18 Feb 2025
Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace Di Li Xiaochang Miao Huiyu Song Chao Chu Hao Xu Mandar Rahurkar 52 0 0 14 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation Jin-Duk Park Jaemin Yoo Won-Yong Shin 134 1 0 13 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 121 3 0 12 Feb 2025
Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation Longtao Xiao Yining Qi Cheng Wang Linfei Ji Yuanbo Wang Jieming Zhu Zhenhua Dong Rui-Xun Zhang Ruixuan Li 180 1 0 10 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 271 2 0 05 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Rieck 170 3 0 04 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 106 0 0 02 Feb 2025
Personalized Denoising Implicit Feedback for Robust Recommender System Kaike Zhang Qi Cao Yunfan Wu Fei Sun Huawei Shen Xueqi Cheng NoLa 118 1 0 01 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 130 0 0 28 Jan 2025
Generating Negative Samples for Multi-Modal Recommendation Yanbiao Ji Yue Ding Dan Luo Chang Liu Jing Tong Shaokai Wu Hongtao Lu 95 2 0 25 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 130 0 0 24 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 205 2 0 23 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling Konstantin Kutzkov 71 0 0 22 Jan 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 94 0 0 22 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 197 11 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 97 0 0 08 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion Model Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 73 3 0 04 Jan 2025
Accelerating Hardware Verification with Graph Models Raghul Saravanan Sreenitha Kasarapu Sai Manoj P D GNN 126 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 139 3 0 03 Jan 2025
Efficient support ticket resolution using Knowledge Graphs Sherwin Varghese James Tian 57 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 149 1 0 29 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 177 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 112 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 166 0 0 12 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 142 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 123 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 Neil Shah Jiliang Tang AI4CE 254 4 0 30 Nov 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 170 0 0 28 Nov 2024
Scalable Deep Metric Learning on Attributed Graphs Xiang Li G. Agrawal R. Jin R. Ramnath 125 0 0 20 Nov 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Sejun Park Joo Young Park Hyunwoo Park AI4CE OOD 83 0 0 17 Nov 2024
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 93 2 0 17 Nov 2024
Bitcoin Research with a Transaction Graph Dataset Hugo Schnoering Michalis Vazirgiannis GNN 73 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 120 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 85 1 0 31 Oct 2024
Path-based summary explanations for graph recommenders -- extended version Danae Pla Karidi E. Pitoura 64 0 0 29 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 24 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 Abdelzaher 67 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 64 1 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 59 0 0 21 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 65 0 0 18 Oct 2024