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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
    GNN
    BDL
ArXivPDFHTML

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

50 / 1,259 papers shown
Title
Federated Recommendation via Hybrid Retrieval Augmented Generation
Federated Recommendation via Hybrid Retrieval Augmented Generation
Huimin Zeng
Zhenrui Yue
Qian Jiang
Dong Wang
FedML
52
12
0
07 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark J. Coates
CLL
40
1
0
06 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via
  Bi-directional Adaptation
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
Zhen Zhang
Meihan Liu
Anhui Wang
Hongyang Chen
Zhao Li
Jiajun Bu
Bingsheng He
TTA
31
10
0
03 Mar 2024
OpenGraph: Towards Open Graph Foundation Models
OpenGraph: Towards Open Graph Foundation Models
Lianghao Xia
Ben Kao
Chao Huang
AI4CE
27
36
0
02 Mar 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday
Gregory Dudek
46
0
0
27 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
28
9
0
27 Feb 2024
Pfeed: Generating near real-time personalized feeds using precomputed
  embedding similarities
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
B. Gebre
Karoliina Ranta
S. V. D. Elzen
Ernst Kuiper
Thijs Baars
Tom Heskes
33
1
0
25 Feb 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward
  Comprehensive Benchmarks
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks
Qian Ma
Hongliang Chi
Hengrui Zhang
Kay Liu
Zhiwei Zhang
Lu Cheng
Suhang Wang
Philip S. Yu
Yao Ma
22
3
0
24 Feb 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng
Junwei Su
Chao Huang
Chuan Wu
25
5
0
23 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang
Rui Xue
Wenqi Fan
Xin Xu
Qing Li
Jian Pei
Xiaorui Liu
AI4CE
32
24
0
21 Feb 2024
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
Ping Liu
Haichao Wei
Xiaochen Hou
Jianqiang Shen
Shihai He
...
Liang Wu
S. Veeraraghavan
Alex Tsun
Chen-Chen Jiang
Wenjing Zhang
25
2
0
20 Feb 2024
Can GNN be Good Adapter for LLMs?
Can GNN be Good Adapter for LLMs?
Xuanwen Huang
Kaiqiao Han
Yang Yang
Dezheng Bao
Quanjin Tao
Ziwei Chai
Qi Zhu
AI4CE
21
37
0
20 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid
  Federated Approach
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach
Chengyi Ju
Jiannong Cao
Yu Yang
Zhen-Qun Yang
Ho Man Lee
13
0
0
19 Feb 2024
Stealthy Attack on Large Language Model based Recommendation
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang
Yuting Liu
Qiang Liu
Shu Wu
Guibing Guo
Liang Wang
27
13
0
18 Feb 2024
LiGNN: Graph Neural Networks at LinkedIn
LiGNN: Graph Neural Networks at LinkedIn
Fedor Borisyuk
Shihai He
Yunbo Ouyang
Morteza Ramezani
Peng Du
...
David Stein
Baolei Li
Haichao Wei
Amol Ghoting
Souvik Ghosh
GNN
30
11
0
17 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise
  Augmentation
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
Xinjian Zhao
Liang Zhang
Yang Liu
Ruocheng Guo
Xiangyu Zhao
19
0
0
16 Feb 2024
Node Duplication Improves Cold-start Link Prediction
Node Duplication Improves Cold-start Link Prediction
Zhichun Guo
Tong Zhao
Yozen Liu
Kaiwen Dong
William Shiao
Neil Shah
Nitesh V. Chawla
AI4CE
18
3
0
15 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
26
1
0
14 Feb 2024
Large Language Model with Graph Convolution for Recommendation
Large Language Model with Graph Convolution for Recommendation
Yingpeng Du
Ziteng Wang
Zhu Sun
Haoyan Chua
Hongzhi Liu
Zhonghai Wu
Yining Ma
Jie M. Zhang
Youchen Sun
24
7
0
14 Feb 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
Wuxinlin Cheng
Chenhui Deng
Ali Aghdaei
Zhiru Zhang
Zhuo Feng
AAML
23
1
0
13 Feb 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering
Frequency-aware Graph Signal Processing for Collaborative Filtering
Jiafeng Xia
Dongsheng Li
Hansu Gu
T. Lu
Peng Zhang
Li Shang
Ning Gu
8
1
0
13 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime
Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian
Yixuan He
G. Reinert
Lukasz Szpruch
Samuel N. Cohen
38
3
0
10 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
37
5
0
09 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 Protection
Enyan Dai
Min Lin
Suhang Wang
26
2
0
06 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 Processor
Yi-Chien Lin
Yuyang Chen
Sameh Gobriel
Nilesh Jain
Gopi Krishna Jha
Viktor Prasanna
GNN
27
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
Jiliang Tang
AI4CE
54
25
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
42
3
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
Yanwei Yue
Kun Wang
Junfeng Fang
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
27
10
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
13
2
0
01 Feb 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
31
7
0
30 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Zhongang Qi
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
33
24
0
28 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
11
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
Mingli Song
Mingli Song
Tongya Zheng
DD
69
6
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
11
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
19
4
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 Recommendations
Lei Li
Jianxun Lian
Xiao Zhou
Xing Xie
16
2
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
AI4CE
GNN
22
2
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
17
0
0
10 Jan 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated
  Learning
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
Ke Zhang
Lichao Sun
Bolin Ding
S. Yiu
Carl Yang
FedML
23
8
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
AI4CE
AAML
28
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
19
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
19
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
12
5
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
17
17
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
Xia Hu
34
4
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
CML
AI4CE
28
2
0
19 Dec 2023
Graph Transformers for Large Graphs
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
A. Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
21
6
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
16
7
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-Attention
Yehjin Shin
Jeongwhan Choi
Hyowon Wi
Noseong Park
38
29
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 Recommendation
Yungi Kim
Taeri Kim
Won-Yong Shin
Sang-Wook Kim
20
10
0
15 Dec 2023
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