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
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification Shweta Ann Jacob Paul Louis Amirali Salehi-Abari GNN 13 4 0 17 Apr 2023
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness Qi Xiong N. Sohrabi Haikun Dong Chenhao Xu Z. Tari 19 0 0 17 Apr 2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation Tongya Zheng Xinchao Wang Zunlei Feng Jie Song Yunzhi Hao Mingli Song Xingen Wang Xinyu Wang Chun-Yen Chen AI4TS 16 11 0 15 Apr 2023
Neural Multi-network Diffusion towards Social Recommendation Boxin Du Lihui Liu Jiejun Xu Fei Wang Hanghang Tong DiffM GNN 11 3 0 11 Apr 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 16 0 0 10 Apr 2023
Graph Collaborative Signals Denoising and Augmentation for Recommendation Ziwei Fan Ke Xu Zhang Dong Hao Peng Jiawei Zhang Philip S. Yu 32 40 0 06 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 11 23 0 06 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 28 49 0 06 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 31 44 0 04 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 38 18 0 03 Apr 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 25 4 0 29 Mar 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Feng Xia Mehdi Naseriparsa Francesco Osborne 22 239 0 24 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi Ren Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 28 10 0 24 Mar 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 21 0 0 24 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 16 185 0 20 Mar 2023
Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms Ao Zhou Jianlei Yang Yingjie Qi Yumeng Shi Tong Qiao Weisheng Zhao Chunming Hu GNN 53 11 0 20 Mar 2023
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 22 15 0 17 Mar 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 57 4 0 14 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 18 10 0 07 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 19 1 0 03 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 24 5 0 02 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture Yi-Chien Lin Viktor Prasanna GNN 29 7 0 01 Mar 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 32 37 0 27 Feb 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 16 0 0 25 Feb 2023
Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo Zhixuan Chu Sheng R. Li FaML 12 16 0 25 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Q. Zhang Chuan Zhou Shirui Pan GNN 16 30 0 23 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 19 5 0 17 Feb 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 30 1 0 16 Feb 2023
Learning to Substitute Ingredients in Recipes Bahare Fatemi Quentin Duval Rohit Girdhar M. Drozdzal Adriana Romero Soriano 20 7 0 15 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai M. Lin Xiang Zhang Suhang Wang AAML 16 47 0 11 Feb 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks L. Zhang Xiaodong Yan Jianshan He Ruopeng Li Wei Chu GNN 11 12 0 10 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 69 51 0 10 Feb 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 17 30 0 09 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang 24 0 0 09 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution Chao Chen Haoyu Geng Gang Zeng Zhaobing Han Hua Chai Xiaokang Yang Junchi Yan 13 2 0 08 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 20 16 0 06 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang M. Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 19 16 0 06 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 29 19 0 03 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 18 12 0 28 Jan 2023
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention Xiaolong Xu Lingjuan Lyu Yihong Dong Yicheng Lu Weiqiang Wang Hong Jin FedML 25 2 0 27 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao Hannes Stärk Dominique Beaini Yiren Zhao Pietro Lio' 24 0 0 27 Jan 2023
Federated Learning over Coupled Graphs Runze Lei P. Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 11 14 0 26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 21 0 0 25 Jan 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 24 18 0 25 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 19 3 0 20 Jan 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 41 0 0 19 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 23 2 0 18 Jan 2023