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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
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
11
16
0
10 Jun 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User
  Engagement Prediction on Social Apps
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
Xianfeng Tang
Yozen Liu
Neil Shah
Xiaolin Shi
P. Mitra
Suhang Wang
AI4TS
15
44
0
10 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need?
Graph-Aware Transformer: Is Attention All Graphs Need?
Sang-yong Yoo
Young-Seok Kim
Kang Lee
Kuhwan Jeong
Junhwi Choi
Hoshik Lee
Y. S. Choi
GNN
14
11
0
09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma
Shuangrui Ding
Qiaozhu Mei
AAML
15
119
0
09 Jun 2020
Optimal Transport Graph Neural Networks
Optimal Transport Graph Neural Networks
Benson Chen
Gary Bécigneul
O. Ganea
Regina Barzilay
Tommi Jaakkola
OT
31
44
0
08 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation
Single-Layer Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Junxiong Zhu
Yanghua Li
Peng He
Wen-yuan Gao
Wenjun Xu
GNN
11
1
0
07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks
  Applications
The Impact of Global Structural Information in Graph Neural Networks Applications
Davide Buffelli
Fabio Vandin
AI4CE
26
8
0
06 Jun 2020
Exploration-Exploitation Motivated Variational Auto-Encoder for
  Recommender Systems
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems
Yizi Zhang
Meimei Liu
6
0
0
05 Jun 2020
Stochastic Graph Neural Networks
Stochastic Graph Neural Networks
Zhan Gao
Elvin Isufi
Alejandro Ribeiro
14
1
0
04 Jun 2020
Graph Learning with Loss-Guided Training
Graph Learning with Loss-Guided Training
Eliav Buchnik
E. Cohen
16
1
0
31 May 2020
Brief Announcement: On the Limits of Parallelizing Convolutional Neural
  Networks on GPUs
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs
Behnam Pourghassemi
Chenghao Zhang
Joo Hwan Lee
Aparna Chandramowlishwaran
AI4CE
BDL
18
12
0
28 May 2020
MVIN: Learning Multiview Items for Recommendation
MVIN: Learning Multiview Items for Recommendation
Chang-You Tai
Meng-Ru Wu
Yun-Wei Chu
Shao-Yu Chu
Lun-Wei Ku
10
47
0
26 May 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
6
101
0
25 May 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain:
  A Survey
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
GNN
AI4TS
AI4CE
13
192
0
24 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
26
386
0
22 May 2020
Graph Structure Learning for Robust Graph Neural Networks
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OOD
AAML
11
686
0
20 May 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework
  for Web-scale Recommender Systems
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
Menghan Wang
Yujie Lin
Guli Lin
Keping Yang
Xiao-ming Wu
AI4TS
3DV
12
70
0
20 May 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale
  Recommender Systems
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
16
142
0
20 May 2020
Controllable Multi-Interest Framework for Recommendation
Controllable Multi-Interest Framework for Recommendation
Yukuo Cen
Jianwei Zhang
Xu Zou
Chang Zhou
Hongxia Yang
Jie Tang
11
263
0
19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User
  Profiles
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
Wenqi Fan
Tyler Derr
Xiangyu Zhao
Yao Ma
Hui Liu
Jianping Wang
Jiliang Tang
Qing Li
MLAU
AAML
6
76
0
17 May 2020
Integrating Semantic and Structural Information with Graph Convolutional
  Network for Controversy Detection
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
L. Zhong
Juan Cao
Qiang Sheng
Junbo Guo
Ziang Wang
12
25
0
16 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
14
226
0
13 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement
  Prediction
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
AIFin
AI4TS
14
52
0
11 May 2020
SocialTrans: A Deep Sequential Model with Social Information for
  Web-Scale Recommendation Systems
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems
Qiaoan Chen
Hao Gu
Lingling Yi
Yishi Lin
Peng He
Chuan Chen
Yangqiu Song
GNN
AI4TS
6
0
0
09 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
20
284
0
07 May 2020
Bundle Recommendation with Graph Convolutional Networks
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang
Chen Gao
Xiangnan He
Yong Li
Depeng Jin
GNN
9
103
0
07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
30
2,646
0
02 May 2020
A Robust Hierarchical Graph Convolutional Network Model for
  Collaborative Filtering
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
Shaowen Peng
Tsunenori Mine
14
8
0
30 Apr 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical
  Report Generation
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
Zhongyi Han
B. Wei
Yilong Yin
Shuo Li
MedIm
30
40
0
28 Apr 2020
Deep Conversational Recommender Systems: A New Frontier for
  Goal-Oriented Dialogue Systems
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
Dai Hoang Tran
Quan Z. Sheng
W. Zhang
S. Hamad
Munazza Zaib
Nguyen H. Tran
Lina Yao
N. Khoa
6
6
0
28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
19
392
0
23 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang
Minnan Luo
Fnu Suya
Jundong Li
Z. Yang
Q. Zheng
AAML
GNN
19
85
0
22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
23
7
0
21 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive
  Recommendation
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen
Chaoran Huang
Lina Yao
Xianzhi Wang
Wei Liu
Wenjie Zhang
4
35
0
17 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph
  Neural Networks
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J. Zaki
14
49
0
13 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised
  Classification
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
GNN
17
2
0
08 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Manqing Dong
Feng Yuan
Lina Yao
Xianzhi Wang
Xiwei Xu
Liming Zhu
9
8
0
08 Apr 2020
Graph Enhanced Representation Learning for News Recommendation
Graph Enhanced Representation Learning for News Recommendation
Suyu Ge
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
AI4TS
14
123
0
31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato
Sarunas Girdzijauskas
11
7
0
30 Mar 2020
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
95
82
0
30 Mar 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
20
48
0
25 Mar 2020
From Bit To Bedside: A Practical Framework For Artificial Intelligence
  Product Development In Healthcare
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In Healthcare
David C. Higgins
V. Madai
6
67
0
23 Mar 2020
Multi-Label Text Classification using Attention-based Graph Neural
  Network
Multi-Label Text Classification using Attention-based Graph Neural Network
Ankit Pal
M. Selvakumar
Malaikannan Sankarasubbu
24
80
0
22 Mar 2020
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social
  Networks
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks
S. Ghafari
6
2
0
21 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
181
171
0
09 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature
  Interactions
Cross-GCN: Enhancing Graph Convolutional Network with kkk-Order Feature Interactions
Fuli Feng
Xiangnan He
Hanwang Zhang
Tat-Seng Chua
23
11
0
05 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems
Learning to Hash with Graph Neural Networks for Recommender Systems
Qiaoyu Tan
Ninghao Liu
Xing Zhao
Hongxia Yang
Jingren Zhou
Xia Hu
10
94
0
04 Mar 2020
Privacy-preserving Learning via Deep Net Pruning
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang
Yushan Su
S. S. Ravi
Zhao-quan Song
Sanjeev Arora
K. Li
MLT
6
16
0
04 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
914
0
02 Mar 2020
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