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
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 94 4 0 22 May 2023
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition Haojun Xu Yanlei Gao Zheng Hui Jie Li Xinbo Gao 72 34 0 21 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 51 7 0 19 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design Andrew Holliday Gregory Dudek 27 2 0 18 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Kai Zou GNN 56 17 0 18 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 113 10 0 18 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 80 3 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 81 4 0 16 May 2023
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings Roberto Martínez-Cruz Debanjan Mahata Alvaro J. López-López J. Portela 137 4 0 16 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 95 32 0 14 May 2023
Turning Privacy-preserving Mechanisms against Federated Learning Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 60 16 0 09 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 82 16 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 110 24 0 03 May 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 64 4 0 28 Apr 2023
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach X. Peng Zhenkun Zhou Chong Zhang Ke Xu 63 1 0 22 Apr 2023
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model Yuanfu Yang Iuan-Kai Fang Min Sun S. Hsu MedIm 70 0 0 22 Apr 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers Romain Menegaux Emmanuel Jehanno Margot Selosse Julien Mairal 63 7 0 21 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Sina Sajadmanesh D. Gática-Pérez 100 18 0 18 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 84 10 0 17 Apr 2023
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification Shweta Ann Jacob Paul Louis Amirali Salehi-Abari GNN 68 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 51 0 0 17 Apr 2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation Tongya Zheng Xinchao Wang Zunlei Feng Mingli Song Yunzhi Hao Mingli Song Xingen Wang Xinyu Wang Chun-Yen Chen AI4TS 71 11 0 15 Apr 2023
Neural Multi-network Diffusion towards Social Recommendation Boxin Du Lihui Liu Jiejun Xu Fei Wang Hanghang Tong DiffM GNN 26 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 61 1 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 69 44 0 06 Apr 2023
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 64 29 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 94 60 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 127 47 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 129 19 0 03 Apr 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 35 4 0 29 Mar 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Xiwei Xu Mehdi Naseriparsa Francesco Osborne 66 290 0 24 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi R. Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 117 11 0 24 Mar 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 55 0 0 24 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 101 213 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 119 12 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 86 17 0 17 Mar 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 102 5 0 14 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 57 12 0 07 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 64 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 54 7 0 02 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture Yi-Chien Lin Viktor Prasanna GNN 67 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 109 39 0 27 Feb 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 93 0 0 25 Feb 2023
Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo Zhixuan Chu Sheng Li FaML 81 18 0 25 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 95 31 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 74 4 0 17 Feb 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks Zhan Gao Deniz Gunduz GNN 88 1 0 16 Feb 2023
Learning to Substitute Ingredients in Recipes Bahare Fatemi Quentin Duval Rohit Girdhar M. Drozdzal Adriana Romero Soriano 49 7 0 15 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai Minhua Lin Xiang Zhang Suhang Wang AAML 111 54 0 11 Feb 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks Lefei Zhang Xiaodong Yan Jianshan He Ruopeng Li Wei Chu GNN 66 13 0 10 Feb 2023