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1806.01973
Cited By
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 / 1,342 papers shown
Subgroup Generalization and Fairness of Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
247
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0
29 Jun 2021
GraphConfRec: A Graph Neural Network-Based Conference Recommender System
Andreea Iana
Heiko Paulheim
121
12
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23 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Neural Information Processing Systems (NeurIPS), 2021
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
389
296
0
21 Jun 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Web Search and Data Mining (WSDM), 2021
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
AAML
GNN
146
38
0
21 Jun 2021
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
Signal Processing (Signal Process.), 2021
Zhangyang Gao
Elvin Isufi
Alejandro Ribeiro
GNN
157
27
0
19 Jun 2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Santiago Miret
Vui Seng Chua
Mattias Marder
Mariano Phielipp
Nilesh Jain
Somdeb Majumdar
137
10
0
14 Jun 2021
Graph Domain Adaptation: A Generative View
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Ruichu Cai
Fengzhu Wu
Zijian Li
Pengfei Wei
Lingling Yi
Kun Zhang
OOD
168
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0
14 Jun 2021
Planning Spatial Networks with Monte Carlo Tree Search
Proceedings of the Royal Society A (Proc. R. Soc. A), 2021
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
225
9
0
12 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2021
Xu Zou
Qinkai Zheng
Yuxiao Dong
Xinyu Guan
Evgeny Kharlamov
Jialiang Lu
Jie Tang
AAML
162
121
0
12 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Knowledge Discovery and Data Mining (KDD), 2021
Susheel Suresh
Vinith Budde
Jennifer Neville
Pan Li
Jianzhu Ma
229
161
0
11 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation
Jihoon Ko
Taehyung Kwon
Kijung Shin
Juho Lee
132
6
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11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks?
International Conference on Learning Representations (ICLR), 2021
Yao Ma
Xiaorui Liu
Neil Shah
Shucheng Zhou
296
275
0
11 Jun 2021
Automated Self-Supervised Learning for Graphs
International Conference on Learning Representations (ICLR), 2021
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Shucheng Zhou
SSL
337
88
0
10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange
International Conference on Information and Knowledge Management (CIKM), 2021
Liang Zeng
Jin Xu
Zijun Yao
Yanqiao Zhu
Jian Li
237
1
0
10 Jun 2021
Fairness-Aware Node Representation Learning
Öykü Deniz Köse
Yanning Shen
143
22
0
09 Jun 2021
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Knowledge Discovery and Data Mining (KDD), 2021
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
FedML
244
159
0
09 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening
Knowledge Discovery and Data Mining (KDD), 2021
Zengfeng Huang
Shengzhong Zhang
Chong Xi
T. Liu
Min Zhou
GNN
239
126
0
09 Jun 2021
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
Knowledge Discovery and Data Mining (KDD), 2021
Yinan Zhang
Boyang Albert Li
Yong Liu
Hao Wang
Chunyan Miao
156
11
0
09 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Knowledge Discovery and Data Mining (KDD), 2021
Enyan Dai
Charu C. Aggarwal
Suhang Wang
NoLa
190
141
0
08 Jun 2021
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
Knowledge Discovery and Data Mining (KDD), 2021
Léa Briand
Guillaume Salha-Galvan
Walid Bendada
M. Morlon
Viet-Anh Tran
142
42
0
07 Jun 2021
Learning by Transference: Training Graph Neural Networks on Growing Graphs
IEEE Transactions on Signal Processing (IEEE TSP), 2021
J. Cerviño
Luana Ruiz
Alejandro Ribeiro
GNN
255
22
0
07 Jun 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping
Zhangyang Gao
S. Bhattacharya
Leiming Zhang
Rick S. Blum
Alejandro Ribeiro
Brian M. Sadler
177
28
0
05 Jun 2021
Cross-Network Learning with Partially Aligned Graph Convolutional Networks
Knowledge Discovery and Data Mining (KDD), 2021
Meng Jiang
GNN
126
12
0
03 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Shuai Wang
Kun Zhang
Le Wu
Haiping Ma
Richang Hong
Meng Wang
138
33
0
31 May 2021
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction
A. Feeney
Rishabh Gupta
Veronika Thost
Rico Angell
Gayathri Chandu
Yash Adhikari
Tengfei Ma
113
12
0
28 May 2021
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network
Applied Energy (Appl. Energy), 2021
Yuqing Hu
X. Cheng
Suhang Wang
Jianli Chen
Tianxiang Zhao
Enyan Dai
GNN
AI4TS
AI4CE
108
103
0
27 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
Italian National Conference on Sensors (INS), 2021
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
239
224
0
27 May 2021
CARLS: Cross-platform Asynchronous Representation Learning System
Chun-Ta Lu
Yun Zeng
Da-Cheng Juan
Yicheng Fan
Zhe Li
...
Ariel Fuxman
Futang Peng
Zhen Li
Tom Duerig
Andrew Tomkins
117
0
0
26 May 2021
Heterogeneous Graph Representation Learning with Relation Awareness
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Yu
Leilei Sun
Bowen Du
Chuanren Liu
Weifeng Lv
Hui Xiong
183
84
0
24 May 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
John Thorpe
Yifan Qiao
Jon Eyolfson
Shen Teng
Guanzhou Hu
...
Jinliang Wei
Keval Vora
Ravi Netravali
Yang Wang
G. Xu
GNN
286
162
0
24 May 2021
Federated Graph Learning -- A Position Paper
Hu Zhang
Tao Shen
Leilei Gan
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
213
63
0
24 May 2021
A Robust and Generalized Framework for Adversarial Graph Embedding
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jianxin Li
Xingcheng Fu
Hao Peng
Senzhang Wang
Shijie Zhu
Qingyun Sun
Philip S. Yu
Lifang He
146
20
0
22 May 2021
Improving Graph Neural Networks with Simple Architecture Design
S. Maurya
Xin Liu
T. Murata
114
59
0
17 May 2021
Graph Learning based Recommender Systems: A Review
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan.Z Sheng
M. Orgun
LongBing Cao
F. Ricci
Philip S. Yu
218
230
0
13 May 2021
GIPA: General Information Propagation Algorithm for Graph Learning
Qinkai Zheng
Houyi Li
Peng Zhang
Zhixiong Yang
Guowei Zhang
Xintan Zeng
Yongchao Liu
197
10
0
13 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Christopher Morris
Matthias Fey
Nils M. Kriege
GNN
179
26
0
12 May 2021
Thematic recommendations on knowledge graphs using multilayer networks
Mariano Beguerisse-Díaz
Dimitrios Korkinof
Till Hoffmann
67
1
0
12 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Proceedings of the VLDB Endowment (PVLDB), 2021
Hongkuan Zhou
Ajitesh Srivastava
Hanqing Zeng
Rajgopal Kannan
Viktor Prasanna
GNN
152
74
0
10 May 2021
Graph Feature Gating Networks
International Conference on Information and Knowledge Management (CIKM), 2021
Wei Jin
Xiaorui Liu
Yao Ma
Hanyu Wang
Charu C. Aggarwal
Shucheng Zhou
131
2
0
10 May 2021
Estimating the State of Epidemics Spreading with Graph Neural Networks
Nonlinear dynamics (ND), 2021
Abhishek Tomy
Matteo Razzanelli
Francesco Di Lauro
Daniela Rus
Cosimo Della Santina
143
37
0
10 May 2021
Graph-based Multilingual Product Retrieval in E-commerce Search
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Hanqing Lu
You-Heng Hu
Tong Zhao
Tony Wu
Yiwei Song
Bing Yin
173
25
0
06 May 2021
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Neural Information Processing Systems (NeurIPS), 2021
Junhan Yang
Zheng Liu
Shitao Xiao
Chaozhuo Li
Defu Lian
Sanjay Agrawal
Amit Singh
Guangzhong Sun
Xing Xie
AI4CE
241
213
0
06 May 2021
Scalable Graph Neural Network Training: The Case for Sampling
ACM SIGOPS Operating Systems Review (OSR), 2021
Marco Serafini
Hui Guan
GNN
236
30
0
05 May 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Zhiwei Liu
Ziwei Fan
Yu Wang
Philip S. Yu
284
173
0
02 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan
Xiaobing Pei
AAML
140
10
0
30 Apr 2021
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
Krittika D’Silva
Jordan Cambe
A. Noulas
Cecilia Mascolo
Adam Waksman
GNN
81
0
0
29 Apr 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jie Chen
Shouzhen Chen
Mingyuan Bai
Jian Pu
Junping Zhang
Junbin Gao
193
23
0
28 Apr 2021
Network Embedding via Deep Prediction Model
IEEE Transactions on Big Data (TBD), 2021
Changrui Chen
Zenghui Song
Yongbo Yu
Junyu Dong
Claudia Plant
Christian Boehm
GNN
124
5
0
27 Apr 2021
Unsupervised Deep Manifold Attributed Graph Embedding
Z. Zang
Siyuan Li
Di Wu
Jianzhu Guo
Yongjie Xu
Stan Z. Li
DRL
138
8
0
27 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
395
394
0
27 Apr 2021
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