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
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion Anjali de Silva Gang Chen Hui Ma Seyed Mohammad Nekooei Xingquan Zuo 7 0 0 15 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing Yezi Liu Prathyush P. Poduval Wenjun Huang Yang Ni Hanning Chen Mohsen Imani MU 23 0 0 14 May 2025
The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic Bernardo Cuenca Grau Przemysław A. Wałęga AI4CE 16 0 0 12 May 2025
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 46 0 0 08 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 24 0 0 02 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 42 0 0 01 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 64 0 0 24 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation Xu Guo Tong Zhang Fuyun Wang Xudong Wang X. Zhang Xin Liu Zhen Cui 30 0 0 23 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning Anirudhan Badrinath Alex Yang Kousik Rajesh Prabhat Agarwal Jaewon Yang Haoyu Chen Jiajing Xu Charles R. Rosenberg AI4TS 27 0 0 22 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Jianpeng Qi Yuan Cao Guoqing Chao Yanwei Yu GNN 49 0 0 22 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 27 0 0 17 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu J. Liu Hongda Shen 22 0 0 10 Apr 2025
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features Sujay Khandagale Bhawna Juneja Prabhat Agarwal Aditya Subramanian Jaewon Yang Yuting Wang 31 0 0 09 Apr 2025
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems Anirudhan Badrinath Prabhat Agarwal Laksh Bhasin Jaewon Yang Jiajing Xu Charles R. Rosenberg LRM 33 0 0 09 Apr 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks Or Feldman Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Chaim Baskin Moshe Eliasof AI4TS 24 0 0 09 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Eya Mhedhbi Youssef Mourchid Alice Othmani 26 0 0 08 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Zongyue Qin Shichang Zhang Mingxuan Ju Tong Zhao Neil Shah Yizhou Sun 21 0 0 08 Apr 2025
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials Chu Zhao Enneng Yang Yuting Liu Jianzhe Zhao G. Guo Xingwei Wang 28 0 0 07 Apr 2025
Graphs are everywhere -- Psst! In Music Recommendation too Bharani Jayakumar Orkun Özoğlu 35 0 0 03 Apr 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias Miaomiao Cai Lei Chen Yifan Wang Zhiyong Cheng M. Zhang Meng Wang 36 0 0 30 Mar 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 40 3 0 27 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang OffRL 41 0 0 21 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 55 0 0 19 Mar 2025
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs J. Huang Shijie Wang Liang-bo Ning Wenqi Fan S. Wang Dawei Yin Qing Li 55 2 0 12 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 38 0 0 12 Mar 2025
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 Liang Lin LRM 54 2 0 08 Mar 2025
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 47 1 0 27 Feb 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 37 0 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 43 0 0 27 Feb 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 73 0 0 25 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 60 0 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 33 0 0 24 Feb 2025
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation Ruochen Liu Hao-Heng Chen Yuanchen Bei Z. Zhou Lijia Chen Qijie Shen Feiran Huang Fakhri Karray S. Wang VLM 44 0 0 24 Feb 2025
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations Wenyu Zhang Jie Luo Xinming Zhang Yuan Fang 59 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 52 0 0 21 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 102 3 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 H. Li 41 1 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 J. Li 52 3 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 33 0 0 14 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation Jin-Duk Park Jaemin Yoo Won-Yong Shin 61 1 0 13 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Y. Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 64 3 0 12 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 65 1 0 11 Feb 2025
Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation Longtao Xiao Haozhao Wang Cheng Wang Linfei Ji Y. Wang Jieming Zhu Zhenhua Dong Rui-Xun Zhang Ruixuan Li 94 0 0 10 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 104 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 Alexander Rieck 76 1 0 04 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 47 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 84 1 0 01 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 74 0 0 28 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 40 0 0 28 Jan 2025