Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

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Title
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu LRM 646 18 0 08 Mar 2025
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction Qia Hu Bo Jiao 273 0 0 02 Mar 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 215 0 0 27 Feb 2025
Accurate and Scalable Graph Neural Networks via Message InvarianceInternational Conference on Learning Representations (ICLR), 2025 Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 325 1 0 27 Feb 2025
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 138 0 0 27 Feb 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 270 0 0 25 Feb 2025
Understanding the Design Principles of Link Prediction in Directed SettingsThe Web Conference (WWW), 2025 Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 189 0 0 24 Feb 2025
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation Ruochen Liu Hao-Heng Chen Yuanchen Bei Zhenhong Zhou Lijia Chen Zuobin Ying Feiran Huang Fakhri Karray Shuaiqiang Wang VLM 265 3 0 24 Feb 2025
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations Wenyu Zhang Jie Luo Xinming Zhang Yuan Fang 173 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 274 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 310 5 0 20 Feb 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads RecommendationThe Web Conference (WWW), 2025 Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Haoyang Li 350 12 0 20 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationThe Web Conference (WWW), 2025 Yuhan Li Xinni Zhang Linhao Luo Heng Chang Yuxiang Ren Irwin King Jiajian Li 218 25 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 146 0 0 14 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria RecommendationThe Web Conference (WWW), 2025 Jin-Duk Park Jaemin Yoo Won-Yong Shin 255 3 0 13 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for RecommendationIndustrial Conference on Data Mining (IDM), 2022 Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 195 4 0 12 Feb 2025
UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration Longtao Xiao Yining Qi Cheng Wang Linfei Ji Yuanbo Wang Jieming Zhu Zhenhua Dong Rui-Xun Zhang Ruixuan Li 390 1 0 10 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain AdaptationThe Web Conference (WWW), 2025 Zhen Zhang Bingsheng He 403 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 520 8 0 04 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 248 0 0 02 Feb 2025
Personalized Denoising Implicit Feedback for Robust Recommender SystemThe Web Conference (WWW), 2025 Kaike Zhang Qi Cao Yunfan Wu Fei Sun Huawei Shen Xueqi Cheng NoLa 310 8 0 01 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 250 1 0 28 Jan 2025
Generating Negative Samples for Multi-Modal Recommendation Yanbiao Ji Dan Luo Yu Xie Shaokai Wu Jing Tong Shaokai Wu Deyi Ji Hongtao Lu Yue Ding 259 2 0 25 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 380 0 0 24 Jan 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025 Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 487 3 0 23 Jan 2025
Learning Graph Node Embeddings by Smooth Pair SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Konstantin Kutzkov 191 0 0 22 Jan 2025
Graph Representation Learning with Diffusion Generative Models Daniel Wesego DiffM 242 0 0 22 Jan 2025
Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph Jiajun Zhou Wentao Fu Hao Song Jinsong Chen Qi Xuan Xiaoniu Yang 78 4 0 15 Jan 2025
Optimality of Message-Passing Architectures for Sparse GraphsNeural Information Processing Systems (NeurIPS), 2023 Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 500 12 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical ReportKnowledge Discovery and Data Mining (KDD), 2025 Haipeng Ding Zhewei Wei Yuhang Ye 238 2 0 08 Jan 2025
DiffGraph: Heterogeneous Graph Diffusion ModelWeb Search and Data Mining (WSDM), 2025 Zongwei Li Lianghao Xia Hua Hua Shijie Zhang Shuangyang Wang Chenyu Huang 187 11 0 04 Jan 2025
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz Maziar Sanjabi Wenlong Jiang Xiaoling Zhai 282 7 0 03 Jan 2025
Accelerating Hardware Verification with Graph Models Raghul Saravanan Sreenitha Kasarapu Sai Manoj P D GNN 207 0 0 03 Jan 2025
Efficient support ticket resolution using Knowledge Graphs Sherwin Varghese James Tian 71 0 0 03 Jan 2025
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor ParallelismProceedings of the VLDB Endowment (PVLDB), 2024 Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 320 6 0 29 Dec 2024
CLDG: Contrastive Learning on Dynamic GraphsIEEE International Conference on Data Engineering (ICDE), 2023 Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 311 24 0 19 Dec 2024
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network TrainingAAAI Conference on Artificial Intelligence (AAAI), 2024 Shuyin Xia Xinjun Ma Zhiyuan Liu Cheng Liu Sen Zhao G. Wang 226 5 0 18 Dec 2024
Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D ImagesAAAI Conference on Artificial Intelligence (AAAI), 2024 Wenrui Li Zhe Yang Wei Han Hengyu Man Xingtao Wang Xiaopeng Fan 3DPC 356 3 0 12 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 281 2 0 10 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral PerspectiveInternational Conference on Learning Representations (ICLR), 2024 Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 243 2 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 Shucheng Zhou AI4CE 560 7 0 30 Nov 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 306 0 0 28 Nov 2024
Scalable Deep Metric Learning on Attributed GraphsInternational Conference on Computational Social Networks (ICCSN), 2024 Xiang Li G. Agrawal R. Jin R. Ramnath 378 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 241 0 0 17 Nov 2024
Stealing Training Graphs from Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024 Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 273 4 0 17 Nov 2024
Bitcoin Research with a Transaction Graph DatasetScientific Data (Sci Data), 2024 Hugo Schnoering Michalis Vazirgiannis GNN 193 3 0 15 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao 233 0 0 02 Nov 2024
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 Xuyuan Liu Yinghao Cai Qihui Yang Yujun Yan 155 2 0 31 Oct 2024
Path-based summary explanations for graph recommenders -- extended version Danae Pla Karidi E. Pitoura 169 0 0 29 Oct 2024
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 74 0 0 26 Oct 2024