Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Graph Convolutional Neural Networks for Web-Scale Recommender Systems"
50 / 1,342 papers shown
Citation network applications in a scientific co-authorship recommender system
International Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2021
Vladislav Tishin
Artyom Sosedka
Peter Ibragimov
Vadim Porvatov
GNN
115
2
0
22 Nov 2021
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
Haizhou Du
Zong Yan
Qiao Xiang
Qinqing Zhan
GNN
224
8
0
21 Nov 2021
Federated Social Recommendation with Graph Neural Network
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Zhiwei Liu
Liangwei Yang
Ziwei Fan
Hao Peng
Philip S. Yu
FedML
273
194
0
21 Nov 2021
Quaternion-Based Graph Convolution Network for Recommendation
World wide web (Bussum) (WWWB), 2021
Yaxing Fang
Pengpeng Zhao
Guanfeng Liu
Yanchi Liu
Victor S. Sheng
Lei Zhao
Xiaofang Zhou
GNN
214
3
0
20 Nov 2021
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
SDM (SDM), 2021
Weilin Cong
Yanhong Wu
Yuandong Tian
Mengting Gu
Yinglong Xia
C. Chen
Mehrdad Mahdavi
AI4CE
277
15
0
19 Nov 2021
Explaining GNN over Evolving Graphs using Information Flow
Yazheng Liu
Xi Zhang
Sihong Xie
FAtt
71
0
0
19 Nov 2021
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation
A. Haeri
K. Skonieczny
AI4CE
194
2
0
18 Nov 2021
IV-GNN : Interval Valued Data Handling Using Graph Neural Network
Sucheta Dawn
S. Bandyopadhyay
GNN
140
4
0
17 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
International Conference on Learning Representations (ICLR), 2021
M. Ramezani
Weilin Cong
Mehrdad Mahdavi
M. Kandemir
A. Sivasubramaniam
GNN
291
35
0
16 Nov 2021
Linear, or Non-Linear, That is the Question!
Web Search and Data Mining (WSDM), 2021
Taeyong Kong
Taeri Kim
Jinsung Jeon
Jeongwhan Choi
Yeon-Chang Lee
Noseong Park
Sang-Wook Kim
203
73
0
14 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks
Journal of Computer Science (JCS), 2021
S. Maurya
Xin Liu
T. Murata
261
108
0
12 Nov 2021
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
448
17
0
12 Nov 2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
Symposium on Field Programmable Gate Arrays (FPGA), 2021
Atefeh Sohrabizadeh
Yuze Chi
Jason Cong
GNN
167
1
0
10 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
230
79
0
09 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OOD
AAML
146
61
0
08 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Neural Information Processing Systems (NeurIPS), 2021
Takanori Maehara
Hoang NT
205
2
0
05 Nov 2021
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
ACM Transactions on Reconfigurable Technology and Systems (TRETS), 2021
Zhuofu Tao
Chen Wu
Yuan Liang
Lei He
GNN
112
29
0
04 Nov 2021
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models
A. Hotti
Riccardo Sven Risuleo
Stefan Magureanu
Aref Moradi
J. Lagergren
342
5
0
03 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning
Jamie Cui
Cen Chen
Tiandi Ye
Li Wang
FedML
126
2
0
02 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Fahao Chen
Peng Li
T. Miyazaki
Celimuge Wu
FedML
161
110
0
02 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing
International Conference on Parallel Architectures and Compilation Techniques (PACT), 2021
Zhe Zhou
Cong Li
Xuechao Wei
Xiaoyang Wang
Guangyu Sun
GNN
209
34
0
01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
R. A. Khan
M. Kleinsteuber
SSL
207
3
0
29 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2021
Weilin Cong
M. Ramezani
M. Mahdavi
194
89
0
28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
International Conference on Information and Knowledge Management (CIKM), 2021
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
257
21
0
28 Oct 2021
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Knowledge Discovery and Data Mining (KDD), 2021
Hongyu Ren
H. Dai
Bo Dai
Xinyun Chen
Denny Zhou
J. Leskovec
Dale Schuurmans
LRM
211
48
0
28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim
Felix Hohne
Xiuyu Li
Sijia Huang
Vaishnavi Gupta
Omkar Bhalerao
Ser-Nam Lim
393
434
0
27 Oct 2021
Robustness of Graph Neural Networks at Scale
Simon Geisler
Tobias Schmidt
Hakan cSirin
Daniel Zügner
Aleksandar Bojchevski
Stephan Günnemann
AAML
380
165
0
26 Oct 2021
Transportation Scenario Planning with Graph Neural Networks
Ana Alice Peregrino
S. Pradhan
Zhicheng Liu
Nivan Ferreira
Fabio Miranda
AI4TS
223
2
0
25 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification
Jianan Zhao
Chaozhuo Li
Qian Wen
Yiqi Wang
Yuming Liu
Hao Sun
Xing Xie
Yanfang Ye
227
94
0
25 Oct 2021
An attention-driven hierarchical multi-scale representation for visual recognition
British Machine Vision Conference (BMVC), 2021
Zachary Wharton
Chenglong Bao
Asish Bera
BDL
199
1
0
23 Oct 2021
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
Hengrui Zhang
Zhongming Yu
Guohao Dai
Guyue Huang
Yufei Ding
Yuan Xie
Yu Wang
GNN
169
63
0
18 Oct 2021
Learning to Learn a Cold-start Sequential Recommender
Xiaowen Huang
Jitao Sang
Jian Yu
Changsheng Xu
DiffM
CLL
OffRL
150
29
0
18 Oct 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Tim Kaler
Nickolas Stathas
Anne Ouyang
A. Iliopoulos
Tao B. Schardl
C. E. Leiserson
Jie Chen
GNN
280
64
0
16 Oct 2021
Graph Condensation for Graph Neural Networks
Wei Jin
Lingxiao Zhao
Shichang Zhang
Yozen Liu
Shucheng Zhou
Neil Shah
DD
AI4CE
508
193
0
14 Oct 2021
Embracing Structure in Data for Billion-Scale Semantic Product Search
V. Lakshman
C. Teo
Xiaowen Chu
Priyank Nigam
Abhinandan Patni
Pooja Maknikar
S.V.N. Vishwanathan
DML
118
8
0
12 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Moshe Eliasof
Ben Bodner
Eran Treister
GNN
241
11
0
10 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Neural Information Processing Systems (NeurIPS), 2021
Qitian Wu
Chenxiao Yang
Junchi Yan
211
35
0
09 Oct 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
Industrial Conference on Data Mining (IDM), 2020
Huance Xu
Chao Huang
Yong-mei Xu
Lianghao Xia
Hao Xing
D. Yin
127
37
0
08 Oct 2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chao Huang
Jiahui Chen
Lianghao Xia
Yong-mei Xu
Peng Dai
Yanqing Chen
Liefeng Bo
Jiashu Zhao
Xiangji Huang
286
108
0
08 Oct 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chao Huang
Huance Xu
Yong-mei Xu
Peng Dai
Lianghao Xia
Mengyin Lu
Liefeng Bo
Hao Xing
Xiaoping Lai
Yanfang Ye
180
200
0
08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network
International Conference on Information and Knowledge Management (CIKM), 2021
Xiaoling Long
Chao Huang
Yong-mei Xu
Huance Xu
Peng Dai
Lianghao Xia
Liefeng Bo
251
108
0
08 Oct 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation
Chao Huang
174
34
0
07 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance
Taige Zhao
Xiangyu Song
Jianxin Li
Wei Luo
Imran Razzak
GNN
161
12
0
06 Oct 2021
Space-Time Graph Neural Networks
Samar Hadou
Charilaos I. Kanatsoulis
Alejandro Ribeiro
AI4TS
200
19
0
06 Oct 2021
Attentive Walk-Aggregating Graph Neural Networks
M. F. Demirel
Shengchao Liu
Siddhant Garg
Zhenmei Shi
Yingyu Liang
273
12
0
06 Oct 2021
Graph Pointer Neural Networks
Tian-bao Yang
Yujing Wang
Z. Yue
Yaming Yang
Yunhai Tong
Jing Bai
233
48
0
03 Oct 2021
IGLU: Efficient GCN Training via Lazy Updates
S. Narayanan
Aditya Sinha
Prateek Jain
Purushottam Kar
Sundararajan Sellamanickam
BDL
169
12
0
28 Sep 2021
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
Yiyu Liu
Qian Liu
Yu Tian
Changping Wang
Yanan Niu
Yang Song
Chenliang Li
198
59
0
28 Sep 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Zhengyi Wang
Zhongkai Hao
Ziqiao Wang
Hang Su
Jun Zhu
AAML
GNN
213
23
0
27 Sep 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
International Conference on Information and Knowledge Management (CIKM), 2021
Kelong Mao
Jieming Zhu
Jinpeng Wang
Quanyu Dai
Zhenhua Dong
Xi Xiao
Xiuqiang He
269
201
0
26 Sep 2021
Previous
1
2
3
...
16
17
18
...
25
26
27
Next
Page 17 of 27
Page
of 27
Go
