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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
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph ClassificationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
200
42
0
31 May 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light
  Graph Convolution for Effective Multi-Criteria Recommendation
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria RecommendationKnowledge Discovery and Data Mining (KDD), 2023
Jin-Duk Park
Siqing Li
Xin Cao
Won-Yong Shin
231
11
0
30 May 2023
Robust Reinforcement Learning Objectives for Sequential Recommender
  Systems
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Melissa Mozifian
Tristan Sylvain
David Evans
Li Meng
OffRL
237
0
0
30 May 2023
Graph Exploration Matters: Improving both individual-level and
  system-level diversity in WeChat Feed Recommender
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender
Shuai Yang
Lixin Zhang
Feng Xia
Leyu Lin
152
1
0
29 May 2023
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text
Ruiyang Li
Fujun Yang
Xianjie Liu
Hon-Yi Shi
186
1
0
29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective ClusteringInternational Conference on Machine Learning (ICML), 2023
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
211
8
0
26 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Graph-Based Model-Agnostic Data Subsampling for Recommendation SystemsKnowledge Discovery and Data Mining (KDD), 2023
Xiaohui Chen
Jiankai Sun
Taiqing Wang
Ruocheng Guo
Liping Liu
Aonan Zhang
210
3
0
25 May 2023
Fast Online Node Labeling for Very Large Graphs
Fast Online Node Labeling for Very Large GraphsInternational Conference on Machine Learning (ICML), 2023
Baojian Zhou
Yifan Sun
Reza Babanezhad
144
4
0
25 May 2023
Representation Online Matters: Practical End-to-End Diversification in
  Search and Recommender Systems
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender SystemsConference on Fairness, Accountability and Transparency (FAccT), 2023
Pedro Silva
Bhawna Juneja
Shloka Desai
Ashudeep Singh
N. Fawaz
162
6
0
24 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Helen Zhou
197
8
0
24 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
290
57
0
23 May 2023
Road Planning for Slums via Deep Reinforcement Learning
Road Planning for Slums via Deep Reinforcement LearningKnowledge Discovery and Data Mining (KDD), 2023
Y. Zheng
Hongyuan Su
Jingtao Ding
Depeng Jin
Yong Li
300
20
0
22 May 2023
Attentive Graph-based Text-aware Preference Modeling for Top-N
  Recommendation
Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation
Ming-Hao Juan
Pu-Jen Cheng
Hui-Neng Hsu
Pin-Hsin Hsiao
85
2
0
22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node
  Classification in Large Graphs
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
Jinsong Chen
Yu Xie
Kai-Xin Gao
Gaichao Li
Kun He
190
4
0
22 May 2023
Language Knowledge-Assisted Representation Learning for Skeleton-Based
  Action Recognition
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action RecognitionIEEE transactions on multimedia (IEEE TMM), 2023
Haojun Xu
Yanlei Gao
Zheng Hui
Jie Li
Xinbo Gao
223
51
0
21 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity
GraphFC: Customs Fraud Detection with Label ScarcityInternational Conference on Information and Knowledge Management (CIKM), 2023
Karandeep Singh
Yu-Che Tsai
Cheng-Te Li
Meeyoung Cha
Shou-de Lin
171
10
0
19 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network
  Design
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design
Andrew Holliday
Gregory Dudek
79
2
0
18 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving
  with Workload Awareness
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
121
22
0
18 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic
  Graphs
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
220
10
0
18 May 2023
Simplifying Distributed Neural Network Training on Massive Graphs:
  Randomized Partitions Improve Model Aggregation
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model AggregationACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Jiong Zhu
Aishwarya N. Reganti
E-Wen Huang
Charles Dickens
Nikhil S. Rao
Karthik Subbian
Danai Koutra
GNNFedML
208
8
0
17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinyu Fu
Irwin King
FedML
178
8
0
16 May 2023
Enhancing Keyphrase Extraction from Long Scientific Documents using
  Graph Embeddings
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings
Roberto Martínez-Cruz
Debanjan Mahata
Alvaro J. López-López
J. Portela
233
5
0
16 May 2023
Towards Understanding the Generalization of Graph Neural Networks
Towards Understanding the Generalization of Graph Neural Networks
Huayi Tang
Y. Liu
GNNAI4CE
191
50
0
14 May 2023
Turning Privacy-preserving Mechanisms against Federated Learning
Turning Privacy-preserving Mechanisms against Federated LearningConference on Computer and Communications Security (CCS), 2023
Marco Arazzi
Mauro Conti
Antonino Nocera
S. Picek
AAMLFedML
124
20
0
09 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic
  Neighborhood Expansion Analysis and Caching
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and CachingConference on Machine Learning and Systems (MLSys), 2023
Tim Kaler
A. Iliopoulos
P. Murzynowski
Tao B. Schardl
C. E. Leiserson
Jie Chen
GNN
192
23
0
04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Rethinking Graph Lottery Tickets: Graph Sparsity MattersInternational Conference on Learning Representations (ICLR), 2023
Bo Hui
Jocelyn M Mora
Adrian Dalca
I. Aganj
285
26
0
03 May 2023
Learning Graph Neural Networks using Exact Compression
Learning Graph Neural Networks using Exact Compression
Jeroen Bollen
Jasper Steegmans
Jan Van den Bussche
Stijn Vansummeren
GNNAI4CE
115
6
0
28 Apr 2023
Detecting Political Opinions in Tweets through Bipartite Graph Analysis:
  A Skip Aggregation Graph Convolution Approach
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach
X. Peng
Zhenkun Zhou
Chong Zhang
Ke Xu
203
2
0
22 Apr 2023
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model
Yuanfu Yang
Iuan-Kai Fang
Min Sun
S. Hsu
MedIm
168
0
0
22 Apr 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in
  Transformers
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers
Romain Menegaux
Emmanuel Jehanno
Margot Selosse
Julien Mairal
195
8
0
21 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy
  Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy GuaranteesWeb Search and Data Mining (WSDM), 2023
Sina Sajadmanesh
D. Gática-Pérez
371
22
0
18 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
GrOVe: Ownership Verification of Graph Neural Networks using EmbeddingsIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
306
14
0
17 Apr 2023
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
Stochastic Subgraph Neighborhood Pooling for Subgraph ClassificationInternational Conference on Information and Knowledge Management (CIKM), 2023
Shweta Ann Jacob
Paul Louis
Amirali Salehi-Abari
GNN
173
6
0
17 Apr 2023
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation
  and Fairness
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness
Qi Xiong
N. Sohrabi
Haikun Dong
Chenhao Xu
Z. Tari
118
3
0
17 Apr 2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic
  Representation
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic RepresentationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Tongya Zheng
Xinchao Wang
Zunlei Feng
Mingli Song
Yunzhi Hao
Weilong Dai
Xingen Wang
Xinyu Wang
Chun-Yen Chen
AI4TS
164
19
0
15 Apr 2023
Neural Multi-network Diffusion towards Social Recommendation
Neural Multi-network Diffusion towards Social Recommendation
Boxin Du
Lihui Liu
Jiejun Xu
Fei Wang
Hanghang Tong
DiffMGNN
56
3
0
11 Apr 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised
  Representation Learning on Graphs
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsEuropean Conference on Artificial Intelligence (ECAI), 2023
A. Arvindh
Aakash Aanegola
Amul Agrawal
Ramasuri Narayanam
Ponnurangam Kumaraguru
246
1
0
10 Apr 2023
Graph Collaborative Signals Denoising and Augmentation for
  Recommendation
Graph Collaborative Signals Denoising and Augmentation for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Ziwei Fan
Ke Xu
Zhang Dong
Hao Peng
Jiawei Zhang
Philip S. Yu
118
66
0
06 Apr 2023
Inductive Graph Unlearning
Inductive Graph UnlearningUSENIX Security Symposium (USENIX Security), 2023
Cheng-Long Wang
Mengdi Huai
Haiyan Zhao
MU
334
37
0
06 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function
GIF: A General Graph Unlearning Strategy via Influence FunctionThe Web Conference (WWW), 2023
Jiancan Wu
Yi Yang
Yuchun Qian
Yongduo Sui
Xiang Wang
Xiangnan He
MU
222
83
0
06 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for
  Molecule, Protein and Material
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
DiffMMedIm
224
59
0
04 Apr 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A SurveyMachine Intelligence Research (MIR), 2023
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CMLAI4CE
431
25
0
03 Apr 2023
GRAF: Graph Attention-aware Fusion Networks
GRAF: Graph Attention-aware Fusion NetworksScientific Reports (Sci Rep), 2023
Ziynet Nesibe Kesimoglu
S. Bozdag
GNN
117
7
0
29 Mar 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and ChallengesArtificial Intelligence Review (AIR), 2023
Ciyuan Peng
Xiwei Xu
Mehdi Naseriparsa
Francesco Osborne
231
439
0
24 Mar 2023
Structural Imbalance Aware Graph Augmentation Learning
Structural Imbalance Aware Graph Augmentation Learning
Zulong Liu
Kejia Chen
Zheng Liu
145
0
0
24 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism
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
399
12
0
24 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
239
305
0
20 Mar 2023
Hardware-Aware Graph Neural Network Automated Design for Edge Computing
  Platforms
Hardware-Aware Graph Neural Network Automated Design for Edge Computing PlatformsDesign Automation Conference (DAC), 2023
Ao Zhou
Jianlei Yang
Yingjie Qi
Yumeng Shi
Tong Qiao
Weisheng Zhao
Chunming Hu
GNN
242
17
0
20 Mar 2023
Distill n' Explain: explaining graph neural networks using simple
  surrogates
Distill n' Explain: explaining graph neural networks using simple surrogatesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tamara A. Pereira
Erik Nasciment
Lucas Resck
Diego Mesquita
Amauri Souza
191
22
0
17 Mar 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph
  Neural Networks
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Kaidi Cao
Jiaxuan You
Jiaju Liu
J. Leskovec
241
9
0
14 Mar 2023
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