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
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
322
13
0
09 Feb 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on
  Multi-Core Processor
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core ProcessorIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024
Yi-Chien Lin
Yuyang Chen
Sameh Gobriel
Nilesh Jain
Gopi Krishna Jha
Viktor Prasanna
GNN
250
4
0
06 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property ProtectionKnowledge Discovery and Data Mining (KDD), 2024
Enyan Dai
Min Lin
Suhang Wang
301
3
0
06 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Shucheng Zhou
AI4CE
367
71
0
03 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi
Wei Jin
Charu C. Aggarwal
Yao Ma
163
5
0
02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via
  Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang
Xinfeng Li
Kun Wang
Cunchun Li
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
186
14
0
02 Feb 2024
Empirical and Experimental Perspectives on Big Data in Recommendation
  Systems: A Comprehensive Survey
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
Kamal Taha
Paul D. Yoo
Aya Taha
172
6
0
01 Feb 2024
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Nemat Gholinejad
M. H. Chehreghani
696
6
0
31 Jan 2024
Graph Fairness Learning under Distribution Shifts
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
214
15
0
30 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Chen Ma
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
241
54
0
28 Jan 2024
On-Device Recommender Systems: A Comprehensive Survey
On-Device Recommender Systems: A Comprehensive Survey
Hongzhi Yin
Liang Qu
Tong Chen
Wei Yuan
Ruiqi Zheng
Jing Long
Xin Xia
Yuhui Shi
Chengqi Zhang
292
56
0
21 Jan 2024
Improving One-class Recommendation with Multi-tasking on Various
  Preference Intensities
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
Chu-Jen Shao
Hao-Ming Fu
Pu-Jen Cheng
115
1
0
18 Jan 2024
Disentangled Condensation for Large-scale Graphs
Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Weilong Dai
Mingli Song
Tongya Zheng
DD
604
11
0
18 Jan 2024
EfficientRec an unlimited user-item scale recommendation system based on
  clustering and users interaction embedding profile
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
Vu Hong Quan
Le Hoang Ngan
Le Minh Duc
Nguyen Tran Ngoc Linh
Hoang-Quynh Le
133
0
0
18 Jan 2024
Machine Unlearning for Recommendation Systems: An Insight
Machine Unlearning for Recommendation Systems: An Insight
Bhavika Sachdeva
Harshita Rathee
Sristi
Arun Sharma
Witold Wydmañski
MU
322
10
0
17 Jan 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential
  Recommendations
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential RecommendationsAAAI Conference on Artificial Intelligence (AAAI), 2024
Lei Li
Jianxun Lian
Xiao Zhou
Xing Xie
260
7
0
12 Jan 2024
Graph Q-Learning for Combinatorial Optimization
Graph Q-Learning for Combinatorial Optimization
Victoria M. Dax
Jiachen Li
Kevin Leahy
Mykel J. Kochenderfer
AI4CEGNN
148
3
0
11 Jan 2024
Hierarchical Knowledge Distillation on Text Graph for Data-limited
  Attribute Inference
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference
Quan Li
Shixiong Jing
Lingwei Chen
173
0
0
10 Jan 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated
  Learning
Deep Efficient Private Neighbor Generation for Subgraph Federated LearningSDM (SDM), 2024
Ke Zhang
Lichao Sun
Bolin Ding
Siu-Ming Yiu
Carl Yang
FedML
221
18
0
09 Jan 2024
Inferring Properties of Graph Neural Networks
Inferring Properties of Graph Neural Networks
Dat Nguyen
Hieu M. Vu
Cong-Thanh Le
Bach Le
David Lo
Singapore Management University
Corina Pasareanu University of Melbourne
AI4CEAAML
263
1
0
08 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural
  Properties of Graphs
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs
Zhongshu Zhu
Bin Jing
Xiaopei Wan
Zhizhen Liu
Lei Liang
Jun Zhou
143
2
0
06 Jan 2024
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket
  Recommendation
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
Zi-Feng Mai
Chang-Dong Wang
Zhongjie Zeng
Ya Li
Jiaquan Chen
Philip S. Yu
144
1
0
26 Dec 2023
BSL: Understanding and Improving Softmax Loss for Recommendation
BSL: Understanding and Improving Softmax Loss for Recommendation
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Jizhi Zhang
Xiang Wang
244
11
0
20 Dec 2023
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via
  Modularity Maximization
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
Aritra Bhowmick
Mert Kosan
Zexi Huang
Ambuj K. Singh
Sourav Medya
225
32
0
20 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
246
16
0
19 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CMLAI4CE
512
10
0
19 Dec 2023
Graph Transformers for Large Graphs
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
Anh Tuan Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
180
10
0
18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion
  Networks
Robust Node Representation Learning via Graph Variational Diffusion Networks
Jun Zhuang
M. A. Hasan
209
9
0
18 Dec 2023
An Attentive Inductive Bias for Sequential Recommendation beyond the
  Self-Attention
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-AttentionAAAI Conference on Artificial Intelligence (AAAI), 2023
Yehjin Shin
Jeongwhan Choi
Hyowon Wi
Noseong Park
241
96
0
16 Dec 2023
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware
  Attention for Multimedia Recommendation
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia RecommendationWeb Search and Data Mining (WSDM), 2023
Yungi Kim
Taeri Kim
Won-Yong Shin
Sang-Wook Kim
153
23
0
15 Dec 2023
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
CAT: A Causally Graph Attention Network for Trimming Heterophilic GraphInformation Sciences (Inf. Sci.), 2023
Silu He
Qinyao Luo
Xinsha Fu
Ling Zhao
Ronghua Du
Haifeng Li
281
10
0
14 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural
  Networks Training
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks TrainingInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Hongwu Peng
Xi Xie
Kaustubh Shivdikar
Md Amit Hasan
Jiahui Zhao
Shaoyi Huang
Omer Khan
David Kaeli
Caiwen Ding
436
41
0
14 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning
  (Technical Report)
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)
Dong Li
Ruoming Jin
Bin Ren
192
5
0
13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical
  Report)
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)
Ruoming Jin
Dong Li
181
0
0
13 Dec 2023
Exploring Graph Based Approaches for Author Name Disambiguation
Exploring Graph Based Approaches for Author Name Disambiguation
Chetanya Rastogi
P. Agarwal
S. Singh
204
6
0
12 Dec 2023
Robust Graph Neural Network based on Graph Denoising
Robust Graph Neural Network based on Graph Denoising
Victor M. Tenorio
Samuel Rey
Antonio G. Marques
AAML
209
3
0
11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng Jiang
355
20
0
11 Dec 2023
No prejudice! Fair Federated Graph Neural Networks for Personalized
  Recommendation
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Nimesh Agrawal
Anuj Kumar Sirohi
Jayadeva
Sandeep Kumar
256
38
0
10 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
267
3
0
10 Dec 2023
Factorized Explainer for Graph Neural Networks
Factorized Explainer for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023
Rundong Huang
Farhad Shirani
Dongsheng Luo
221
15
0
09 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative
  Sampling Framework for Link Prediction
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link PredictionWeb Search and Data Mining (WSDM), 2023
Yakun Wang
Binbin Hu
Shuo Yang
Meiqi Zhu
Qing Cui
Qiyang Zhang
Jun Zhou
Guo Ye
Huimei He
158
2
0
08 Dec 2023
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of
  Aligned Experts
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned ExpertsNeural Information Processing Systems (NeurIPS), 2023
Shirley Wu
Kaidi Cao
Bruno Ribeiro
James Zou
J. Leskovec
OOD
241
12
0
07 Dec 2023
On the Initialization of Graph Neural Networks
On the Initialization of Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Jiahang Li
Ya-Zhi Song
Xiang Song
David Wipf
GNN
206
10
0
05 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph StreamsProceedings of the VLDB Endowment (PVLDB), 2023
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
191
13
0
05 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning
Recurrent Distance Filtering for Graph Representation LearningInternational Conference on Machine Learning (ICML), 2023
Yuhui Ding
Antonio Orvieto
Bobby He
Thomas Hofmann
GNN
334
13
0
03 Dec 2023
Knowledge Graph Driven Recommendation System Algorithm
Knowledge Graph Driven Recommendation System Algorithm
Chaoyang Zhang
Yanan Li
Shen Chen
Siwei Fan
Wei Li
289
3
0
01 Dec 2023
Preference and Concurrence Aware Bayesian Graph Neural Networks for
  Recommender Systems
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
Hongjian Gu
Yaochen Hu
Yingxue Zhang
CMLBDL
135
0
0
30 Nov 2023
FastSample: Accelerating Distributed Graph Neural Network Training for
  Billion-Scale Graphs
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs
Hesham Mostafa
Adam Grabowski
Md Asadullah Turja
J. Cerviño
Alejandro Ribeiro
N. Himayat
GNN
182
1
0
29 Nov 2023
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on
  Dynamic Graphs
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs
Yuchen Zhong
Guangming Sheng
Tianzuo Qin
Minjie Wang
Quan Gan
Chuan Wu
AI4CEGNN
318
10
0
29 Nov 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
GraphPro: Graph Pre-training and Prompt Learning for RecommendationThe Web Conference (WWW), 2023
Yuhao Yang
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
AI4CE
434
34
0
28 Nov 2023
Previous
123...678...252627
Next