ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.01973
  4. Cited By
Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
    GNNBDL
ArXiv (abs)PDFHTML

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

50 / 1,342 papers shown
Title
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-training
Yufei He
Zhenyu Hou
Yukuo Cen
Feng He
Feng He
Xu Cheng
Jie Tang
Bryan Hooi
AI4CE
429
8
0
04 Jul 2024
ITEM: Improving Training and Evaluation of Message-Passing based GNNs
  for top-k recommendation
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
Yannis Karmim
Elias Ramzi
Raphael Fournier SÑiehotta
Nicolas Thome
152
2
0
03 Jul 2024
On the Robustness of Graph Reduction Against GNN Backdoor
On the Robustness of Graph Reduction Against GNN Backdoor
Yuxuan Zhu
Michael Mandulak
Kerui Wu
George Slota
Yuseok Jeon
Ka-Ho Chow
Lei Yu
AAML
178
3
0
02 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards
  Interpretable Graph Neural Networks
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
Yuwen Wang
Shunyu Liu
Tongya Zheng
Kaixuan Chen
Mingli Song
AI4CE
202
8
0
02 Jul 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs
Quanming Yao
Yongqi Zhang
Yaqing Wang
Nan Yin
James Kwok
Qiang Yang
231
0
0
29 Jun 2024
Reducing Memory Contention and I/O Congestion for Disk-based GNN
  Training
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
Qisheng Jiang
Lei Jia
Chundong Wang
GNN
225
5
0
20 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future
  Directions
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
Siemen Brussee
Giorgio Buzzanca
Anne M.R. Schrader
Jesper Kers
487
23
0
18 Jun 2024
Demystifying Higher-Order Graph Neural Networks
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
370
5
0
18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations
Scalable Expressiveness through Preprocessed Graph Perturbations
Danial Saber
Amirali Salehi-Abari
233
3
0
17 Jun 2024
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative
  Mask Learning
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning
Kaidi Li
Tianmeng Yang
Min Zhou
Jiahao Meng
Shendi Wang
...
Hu Song
Lujia Pan
Fan Yu
Zhenli Sheng
Yunhai Tong
AAML
202
13
0
17 Jun 2024
An Interpretable Alternative to Neural Representation Learning for
  Rating Prediction -- Transparent Latent Class Modeling of User Reviews
An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews
Giuseppe Serra
Peter Tino
Zhao Xu
Xin Yao
165
0
0
17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Shucheng Zhou
287
33
0
15 Jun 2024
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
Ningyi Liao
Haoyu Liu
Zulun Zhu
Siqiang Luo
L. Lakshmanan
354
2
0
14 Jun 2024
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral
  Band Selection
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection
Jie Feng
Xiaojian Zhong
Di Li
Weisheng Dong
Ronghua Shang
Licheng Jiao
104
0
0
12 Jun 2024
Survey for Landing Generative AI in Social and E-commerce Recsys -- the
  Industry Perspectives
Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
Da Xu
Danqing Zhang
Guangyu Yang
Bo Yang
Shuyuan Xu
Lingling Zheng
Cindy Liang
118
4
0
10 Jun 2024
GKAN: Graph Kolmogorov-Arnold Networks
GKAN: Graph Kolmogorov-Arnold Networks
Mehrdad Kiamari
Mohammad Kiamari
Bhaskar Krishnamachari
234
68
0
10 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
  Networks
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024
Dongrui Fan
Xiaoyang Lin
Renchi Yang
Hongtao Wang
421
7
0
08 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina
Ankit Gangwal
Aaryan Ajay Sharma
Charu Sharma
322
4
0
07 Jun 2024
PANDORA: Deep graph learning based COVID-19 infection risk level
  forecasting
PANDORA: Deep graph learning based COVID-19 infection risk level forecastingIEEE Transactions on Computational Social Systems (IEEE TCSS), 2024
Shuo Yu
Xiwei Xu
Yueru Wang
Shihao Li
F. Febrinanto
Madhu Chetty
130
3
0
07 Jun 2024
XRec: Large Language Models for Explainable Recommendation
XRec: Large Language Models for Explainable Recommendation
Qiyao Ma
Xubin Ren
Chao Huang
LRM
219
54
0
04 Jun 2024
Temporal Graph Rewiring with Expander Graphs
Temporal Graph Rewiring with Expander Graphs
Katarina Petrović
Shenyang Huang
Farimah Poursafaei
Petar Velickovic
AI4CE
252
6
0
04 Jun 2024
Graph Adversarial Diffusion Convolution
Graph Adversarial Diffusion Convolution
Songtao Liu
Jinghui Chen
Tianfan Fu
Lu Lin
Marinka Zitnik
Dinghao Wu
DiffM
233
1
0
04 Jun 2024
Cold-start Recommendation by Personalized Embedding Region Elicitation
Cold-start Recommendation by Personalized Embedding Region Elicitation
Hieu Trung Nguyen
Duy Nguyen
Khoa D. Doan
Viet Anh Nguyen
193
1
0
03 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of
  Full-Graph and Mini-Batch
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Saurabh Bajaj
Hui Guan
Marco Serafini
GNN
265
8
0
01 Jun 2024
RecDiff: Diffusion Model for Social Recommendation
RecDiff: Diffusion Model for Social Recommendation
Zongwei Li
Lianghao Xia
Chao Huang
198
38
0
01 Jun 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout
  Method on GNNs
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs
Zhiheng Zhou
Sihao Liu
Weichen Zhao
194
1
0
30 May 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Hai-Dang Kieu
Minh-Duc Nguyen
Thien Hang Nguyen
Dung D. Le
RALMLRM
290
8
0
30 May 2024
A Survey of Latent Factor Models in Recommender Systems
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRMBDL
249
6
0
28 May 2024
Boosting Protein Language Models with Negative Sample Mining
Boosting Protein Language Models with Negative Sample Mining
Yaoyao Xu
Xinjian Zhao
Xiaozhuang Song
Benyou Wang
Tianshu Yu
166
1
0
28 May 2024
Differentiable Cluster Graph Neural Network
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
178
2
0
25 May 2024
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
Yiqing Wu
Ruobing Xie
Zhao Zhang
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Zhanhui Kang
Yongjun Xu
114
6
0
24 May 2024
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning
Tao Zou
Yuhao Mao
Junchen Ye
Bo Du
274
12
0
24 May 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
191
14
0
23 May 2024
Analysis of Corrected Graph Convolutions
Analysis of Corrected Graph Convolutions
Robert Wang
Aseem Baranwal
Kimon Fountoulakis
263
0
0
22 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
219
9
0
22 May 2024
Towards Subgraph Isomorphism Counting with Graph Kernels
Towards Subgraph Isomorphism Counting with Graph Kernels
Xin Liu
Weiqi Wang
Jiaxin Bai
Yangqiu Song
146
1
0
13 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations
Design Requirements for Human-Centered Graph Neural Network Explanations
Pantea Habibi
Peyman Baghershahi
Sourav Medya
Debaleena Chattopadhyay
157
2
0
11 May 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering
SVD-AE: Simple Autoencoders for Collaborative Filtering
Seoyoung Hong
Jeongwhan Choi
Yeon-Chang Lee
Srijan Kumar
Noseong Park
203
13
0
08 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang
Wei Zhou
Yifei Sun
Kaiqiao Han
Lvbin Ma
Yang Yang
376
10
0
07 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Miao Hu
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Tengjiao Wang
GNN
282
0
0
07 May 2024
Generated Contents Enrichment
Generated Contents Enrichment
Mahdi Naseri
Jiayan Qiu
Zhou Wang
313
0
0
06 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features
Training-free Graph Neural Networks and the Power of Labels as Features
Ryoma Sato
248
5
0
30 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng Zhang
181
5
0
28 Apr 2024
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
Prabhat Agarwal
SK MinhazulIslam
Nikil Pancha
Kurchi Subhra Hazra
Jiajing Xu
Chuck Rosenberg
191
12
0
25 Apr 2024
Mixed Supervised Graph Contrastive Learning for Recommendation
Mixed Supervised Graph Contrastive Learning for Recommendation
Weizhi Zhang
Liangwei Yang
Zihe Song
Henry Peng Zou
Ke Xu
Yuanjie Zhu
Philip S. Yu
174
7
0
24 Apr 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph
  Neural Networks
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Zhe Zhao
Pengkun Wang
Xu Wang
Haibin Wen
Xiaolong Xie
Zhengyang Zhou
Gang Qu
Yang Wang
AI4CECLL
183
0
0
23 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs)
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan
Shijie Wang
Jiani Huang
Zhikai Chen
Yu Song
...
Haitao Mao
Hui Liu
Xiaorui Liu
D. Yin
Qing Li
AI4CE
405
40
0
23 Apr 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner
Michael Eichelbeck
Matthias Althoff
GNN
418
3
0
23 Apr 2024
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast
  Recommendation
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
Jin-Duk Park
Yong-Min Shin
Won-Yong Shin
225
12
0
22 Apr 2024
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph
  Convolution and Pooling
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
Zehao Dong
Muhan Zhang
Yixin Chen
170
0
0
21 Apr 2024
Previous
123456...252627
Next