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

© 2026 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
Interactive Graph Convolutional Filtering
Interactive Graph Convolutional Filtering
Jin Zhang
Defu Lian
Hong Xie
Yawen Li
Enhong Chen
138
0
0
04 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation
  Learning with Stability
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Zehao Dong
Muhan Zhang
Philip R. O. Payne
Michael Province
C. Cruchaga
Tianyu Zhao
Fuhai Li
Yixin Chen
337
1
0
01 Sep 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph AttacksThe Web Conference (WWW), 2023
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
239
3
0
29 Aug 2023
An Experimental Comparison of Partitioning Strategies for Distributed
  Graph Neural Network Training
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network TrainingInternational Conference on Extending Database Technology (EDBT), 2023
Nikolai Merkel
Daniel Stoll
R. Mayer
Hans-Arno Jacobsen
GNN
253
2
0
29 Aug 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music
  Discovery
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music DiscoveryEuropean Conference on Information Retrieval (ECIR), 2023
Rebecca Salganik
Fernando Diaz
G. Farnadi
165
6
0
28 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph
  Neural Networks for Recommender Systems
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Peiyan Zhang
Yuchen Yan
Xi Zhang
Chaozhuo Li
Senzhang Wang
Feiran Huang
Sunghun Kim
320
55
0
28 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online
  Dynamic-Embedding Prediction
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding PredictionSDM (SDM), 2023
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Bo Pan
GNN
246
5
0
25 Aug 2023
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Hanyu Wang
Yuying Zhao
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
474
11
0
23 Aug 2023
How Expressive are Graph Neural Networks in Recommendation?
How Expressive are Graph Neural Networks in Recommendation?International Conference on Information and Knowledge Management (CIKM), 2023
Xuheng Cai
Lianghao Xia
Xubin Ren
Chao Huang
328
7
0
22 Aug 2023
Graph Neural Bandits
Graph Neural BanditsKnowledge Discovery and Data Mining (KDD), 2023
Yunzhe Qi
Yikun Ban
Jingrui He
143
25
0
21 Aug 2023
Adversarial Collaborative Filtering for Free
Adversarial Collaborative Filtering for FreeACM Conference on Recommender Systems (RecSys), 2023
Huiyuan Chen
Xiaoting Li
Vivian Lai
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Mahashweta Das
Hao Yang
AAML
136
8
0
20 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing
Half-Hop: A graph upsampling approach for slowing down message passingInternational Conference on Machine Learning (ICML), 2023
Mehdi Azabou
Venkataraman Ganesh
S. Thakoor
Chi-Heng Lin
Lakshmi Sathidevi
Ran Liu
Michal Valko
Petar Velickovic
Eva L. Dyer
258
30
0
17 Aug 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active
  Learning
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active LearningInternational Conference on Information and Knowledge Management (CIKM), 2023
Tianmeng Yang
Min Zhou
Yujing Wang
Zhe-Min Lin
Lujia Pan
Tengjiao Wang
Yu Tong
AAML
158
3
0
17 Aug 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler,
  Partition Method Co-Design
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design
Shuwen Lu
Zhihui Zhang
Cong Guo
Jingwen Leng
Yangjie Zhou
Minyi Guo
GNN
107
1
0
16 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation
Decentralized Graph Neural Network for Privacy-Preserving RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Xiaolin Zheng
Zhongyu Wang
Chaochao Chen
Jiashu Qian
Yao Yang
FedML
115
11
0
15 Aug 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade
  Between Nations
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
Lekang Jiang
Caiqi Zhang
Farimah Poursafaei
Shenyang Huang
168
3
0
15 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Simple and Efficient Partial Graph Adversarial Attack: A New PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Guanghui Zhu
Meng Chen
Chun Yuan
Jiaming Ji
AAML
191
15
0
15 Aug 2023
Communication-Free Distributed GNN Training with Vertex Cut
Communication-Free Distributed GNN Training with Vertex Cut
Kaidi Cao
Rui Deng
Shirley Wu
E-Wen Huang
Karthik Subbian
J. Leskovec
GNN
232
4
0
06 Aug 2023
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
Evolutionary Multi-objective Optimisation in Neurotrajectory PredictionApplied Soft Computing (Appl. Soft Comput.), 2023
E. López
Fergal Stapleton
178
4
0
04 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi
Mauro Conti
Stefanos Koffas
Marina Krček
Antonino Nocera
S. Picek
Jing Xu
FedMLAAML
283
1
0
04 Aug 2023
Event-based Dynamic Graph Representation Learning for Patent Application
  Trend Prediction
Event-based Dynamic Graph Representation Learning for Patent Application Trend PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Tao Zou
Le Yu
Leilei Sun
Bo Du
Deqing Wang
Fuzhen Zhuang
99
10
0
04 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and
  MLPs
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPsInternational Conference on Learning Representations (ICLR), 2023
Ling Yang
Ye Tian
Minkai Xu
Zhongyi Liu
Shenda Hong
Wei Qu
Wentao Zhang
Tengjiao Wang
Muhan Zhang
J. Leskovec
291
32
0
04 Aug 2023
Adaptive Collaborative Filtering with Personalized Time Decay Functions
  for Financial Product Recommendation
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product RecommendationACM Conference on Recommender Systems (RecSys), 2023
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
122
14
0
01 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and
  Reproducibility-driven Analysis
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven AnalysisACM Conference on Recommender Systems (RecSys), 2023
Vito Walter Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
Tommaso Di Noia
E. Sciascio
306
17
0
01 Aug 2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle
  Crushing Strength
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing StrengthExpert systems with applications (ESWA), 2023
Tongya Zheng
Tianli Zhang
Qingzheng Guan
Wenjie Huang
Zunlei Feng
Min-Gyoo Song
Chun-Yen Chen
AI4CE
219
3
0
26 Jul 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Guowei Wu
Weike Pan
Zhong Ming
FedML
159
4
0
25 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
GNN
186
4
0
20 Jul 2023
Sharpness-Aware Graph Collaborative Filtering
Sharpness-Aware Graph Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Huiyuan Chen
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Junpeng Wang
Vivian Lai
Mahashweta Das
Hao Yang
170
6
0
18 Jul 2023
Evaluating and Enhancing Robustness of Deep Recommendation Systems
  Against Hardware Errors
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma
Xun Jiao
Fred Lin
Mengshi Zhang
Alban Desmaison
Thomas Sellinger
Daniel Moore
Sriram Sankar
129
2
0
17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular
  Topology Protection
Differentially Private Decoupled Graph Convolutions for Multigranular Topology ProtectionNeural Information Processing Systems (NeurIPS), 2023
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
373
22
0
12 Jul 2023
Efficient and Joint Hyperparameter and Architecture Search for
  Collaborative Filtering
Efficient and Joint Hyperparameter and Architecture Search for Collaborative FilteringKnowledge Discovery and Data Mining (KDD), 2023
Yan-Dong Wen
Chen Gao
Lingling Yi
Liwei Qiu
Yaqing Wang
Yong Li
171
7
0
12 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2023
Yuanchen Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
344
9
0
06 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Shucheng Zhou
Qing Li
KELM
640
434
0
05 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph
  Neural Network over Huge Graphs
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge GraphsIEEE International Conference on Data Engineering (ICDE), 2023
Dalong Zhang
Xianzheng Song
Zhiyang Hu
Yang Li
Miao Tao
Binbin Hu
Lin Wang
Qing Cui
Jun Zhou
GNN
205
4
0
01 Jul 2023
Dimension Independent Mixup for Hard Negative Sample in Collaborative
  Filtering
Dimension Independent Mixup for Hard Negative Sample in Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2023
Xi Wu
Liangwei Yang
Jibing Gong
Chao Zhou
Tianyu Lin
Xiao-lin Liu
Philip S. Yu
165
11
0
28 Jun 2023
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
Damitha Sandeepa Lenadora
Vimarsh Sathia
Gerasimos Gerogiannis
Serif Yesil
Josep Torrellas
Charith Mendis
GNN
180
1
0
27 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph
  Convolutional Networks
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional NetworksInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023
Saket Gurukar
S. Venkatakrishnan
B. Ravindran
Srinivas Parthasarathy
GNN
157
0
0
25 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Luke Huan
GNNAI4CE
242
32
0
24 Jun 2023
Geometric Pooling: maintaining more useful information
Geometric Pooling: maintaining more useful information
Hao Xu
Jia Liu
Yang Shen
Kenan Lou
Yanxia Bao
Ruihua Zhang
Shuyue Zhou
Hongsen Zhao
Shuai Wang
127
0
0
21 Jun 2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network
  Representation Learning
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation LearningNeural Information Processing Systems (NeurIPS), 2023
Yun Yi
Haokui Zhang
Rong Xiao
Nan Wang
Xiaoyu Wang
GNN
319
6
0
19 Jun 2023
Globally Interpretable Graph Learning via Distribution Matching
Globally Interpretable Graph Learning via Distribution MatchingThe Web Conference (WWW), 2023
Yi Nian
Yurui Chang
Wei Jin
Lu Lin
OOD
359
9
0
18 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and
  Membership Privacy
A Unified Framework of Graph Information Bottleneck for Robustness and Membership PrivacyKnowledge Discovery and Data Mining (KDD), 2023
Enyan Dai
Limeng Cui
Zhengyang Wang
Xianfeng Tang
Yinghan Wang
Mo Cheng
Bin Yin
Suhang Wang
AAML
238
20
0
14 Jun 2023
Better Generalization with Semantic IDs: A Case Study in Ranking for
  Recommendations
Better Generalization with Semantic IDs: A Case Study in Ranking for RecommendationsACM Conference on Recommender Systems (RecSys), 2023
Anima Singh
Trung Vu
Nikhil Mehta
Raghunandan H. Keshavan
M. Sathiamoorthy
...
Lukasz Heldt
Li Wei
Devansh Tandon
Ed H. Chi
Xinyang Yi
237
56
0
13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on GraphsKnowledge Discovery and Data Mining (KDD), 2023
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSLOOD
255
8
0
12 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction
CrysMMNet: Multimodal Representation for Crystal Property PredictionConference on Uncertainty in Artificial Intelligence (UAI), 2023
Kishalay Das
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
112
21
0
09 Jun 2023
Empowering Counterfactual Reasoning over Graph Neural Networks through
  Inductivity
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity
S. Verma
Burouj Armgaan
Sourav Medya
Jignesh M. Patel
CMLAI4CE
145
0
0
07 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations
Eli J. Laird
Ayesh Madushanka
E. Kraka
Corey Clark
170
1
0
07 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Permutation Equivariant Graph Framelets for Heterophilous Graph LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
374
121
0
07 Jun 2023
User Behavior Simulation with Large Language Model based Agents
User Behavior Simulation with Large Language Model based Agents
Lei Wang
Jingsen Zhang
Hao-ran Yang
Zhiyuan Chen
Jiakai Tang
...
Wayne Xin Zhao
Jun Xu
Zhicheng Dou
Jun Wang
Ji-Rong Wen
LM&RoLLMAG
392
120
0
05 Jun 2023
TransAct: Transformer-based Realtime User Action Model for
  Recommendation at Pinterest
TransAct: Transformer-based Realtime User Action Model for Recommendation at PinterestKnowledge Discovery and Data Mining (KDD), 2023
Xue Xia
Pong Eksombatchai
Nikil Pancha
Dhruvil Badani
Po-Wei Wang
Neng Gu
Saurabh Vishwas Joshi
Nazanin Farahpour
Zhiyuan Zhang
Andrew Zhai
AI4TS
131
32
0
31 May 2023
Previous
123...8910...252627
Next