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

50 / 1,259 papers shown
Title
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
61
308
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 Graphs
Dalong Zhang
Xianzheng Song
Zhiyang Hu
Yang Li
Miao Tao
Binbin Hu
Lin Wang
Zhiqiang Zhang
Jun Zhou
GNN
16
4
0
01 Jul 2023
Dimension Independent Mixup for Hard Negative Sample in Collaborative
  Filtering
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
Xi Wu
Liangwei Yang
Jibing Gong
Chao Zhou
Tianyu Lin
Xiao-lin Liu
Philip S. Yu
11
6
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
21
1
0
27 Jun 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph
  Convolutional Networks
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Saket Gurukar
S. Venkatakrishnan
B. Ravindran
Srinivas Parthasarathy
GNN
20
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
Yizhou Sun
GNN
AI4CE
29
22
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
27
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 Learning
Yun Yi
Haokui Zhang
Rong Xiao
Nan Wang
Xiaoyu Wang
GNN
22
2
0
19 Jun 2023
Globally Interpretable Graph Learning via Distribution Matching
Globally Interpretable Graph Learning via Distribution Matching
Yi Nian
Yurui Chang
Wei Jin
Lu Lin
OOD
58
4
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 Privacy
Enyan Dai
Limeng Cui
Zhengyang Wang
Xianfeng Tang
Yinghan Wang
Mo Cheng
Bin Yin
Suhang Wang
AAML
25
14
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 Recommendations
Anima Singh
Trung Vu
Nikhil Mehta
Raghunandan H. Keshavan
M. Sathiamoorthy
...
Lukasz Heldt
Li Wei
Devansh Tandon
Ed H. Chi
Xinyang Yi
16
19
0
13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSL
OOD
18
7
0
12 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction
CrysMMNet: Multimodal Representation for Crystal Property Prediction
Kishalay Das
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
13
11
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
Sayan Ranu
CML
AI4CE
24
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
17
1
0
07 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
31
50
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&Ro
LLMAG
22
39
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 Pinterest
Xue Xia
Pong Eksombatchai
Nikil Pancha
Dhruvil Badani
Po-Wei Wang
Neng Gu
Saurabh Vishwas Joshi
Nazanin Farahpour
Zhiyuan Zhang
Andrew Zhai
AI4TS
9
13
0
31 May 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
15
30
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 Recommendation
Jin-Duk Park
Siqing Li
Xin Cao
Won-Yong Shin
17
7
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 E. Evans
Li Meng
OffRL
16
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
11
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
22
0
0
29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
X. Zhang
Jing Chen
BDL
40
7
0
26 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Xiaohui Chen
Jiankai Sun
Taiqing Wang
Ruocheng Guo
Liping Liu
Aonan Zhang
25
3
0
25 May 2023
Fast Online Node Labeling for Very Large Graphs
Fast Online Node Labeling for Very Large Graphs
Baojian Zhou
Yifan Sun
Reza Babanezhad
15
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 Systems
Pedro Silva
Bhawna Juneja
Shloka Desai
Ashudeep Singh
N. Fawaz
20
4
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
Xia Hu
15
6
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 Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
33
23
0
23 May 2023
Road Planning for Slums via Deep Reinforcement Learning
Road Planning for Slums via Deep Reinforcement Learning
Y. Zheng
Hongyuan Su
Jingtao Ding
Depeng Jin
Yong Li
9
12
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
18
1
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
Chang-Shu Liu
Kai-Xin Gao
Gaichao Li
Kun He
21
4
0
22 May 2023
Language Knowledge-Assisted Representation Learning for Skeleton-Based
  Action Recognition
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition
Haojun Xu
Yanlei Gao
Zheng Hui
Jie Li
Xinbo Gao
31
32
0
21 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity
GraphFC: Customs Fraud Detection with Label Scarcity
Karandeep Singh
Yu-Che Tsai
Cheng-Te Li
Meeyoung Cha
Shou-de Lin
16
7
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
6
1
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
Luo Mai
GNN
15
15
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
29
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 Aggregation
Jiong Zhu
Aishwarya N. Reganti
E-Wen Huang
Charles Dickens
Nikhil S. Rao
Karthik Subbian
Danai Koutra
GNN
FedML
32
3
0
17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
FedML
28
3
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
62
4
0
16 May 2023
Towards Understanding the Generalization of Graph Neural Networks
Towards Understanding the Generalization of Graph Neural Networks
Huayi Tang
Y. Liu
GNN
AI4CE
32
29
0
14 May 2023
Turning Privacy-preserving Mechanisms against Federated Learning
Turning Privacy-preserving Mechanisms against Federated Learning
Marco Arazzi
Mauro Conti
Antonino Nocera
S. Picek
AAML
FedML
19
15
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 Caching
Tim Kaler
A. Iliopoulos
P. Murzynowski
Tao B. Schardl
C. E. Leiserson
Jie Chen
GNN
22
15
0
04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui
Jocelyn M Mora
Adrian V. Dalca
I. Aganj
37
22
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
GNN
AI4CE
6
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
26
1
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
23
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
21
6
0
21 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy
  Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Sina Sajadmanesh
D. Gática-Pérez
17
15
0
18 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
32
9
0
17 Apr 2023
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